Mosquito Species and Gender Identification System Based on Artificial Intelligence and Image Processing Methods.

Συγγραφείς: Wu FH; Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan.; Bachelor Degree Program of Artificial Intelligence, National Taichung University of Science and Technology, Taichung, Taiwan., Lin CH; Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan., Zhang XY; Department of Management Information Systems, National Chung Hsing University, Taichung, Taiwan., Peng CT; Department of Digital Content Design, Ling Tung University, Taichung, Taiwan., Tseng KC; Yao-Chi Pest Control Operation Limited Company, Taichung, Taiwan., Liu CK; Department of Artificial Intelligence and Computer Engineering, National Chin-Yi University of Technology, Taichung, Taiwan., Chu SW; Department of Artificial Intelligence and Computer Engineering, National Chin-Yi University of Technology, Taichung, Taiwan., Chen YY; Department of Management Information Systems, National Chung Hsing University, Taichung, Taiwan., Tu WC; Department of Entomology, National Chung Hsing University, Taichung, Taiwan., Chan YK; Department of Management Information Systems, National Chung Hsing University, Taichung, Taiwan.

Πηγή: Journal of computational biology : a journal of computational molecular cell biology [J Comput Biol] 2026 Sep; Vol. 33 (9), pp. 888-912. Date of Electronic Publication: 2026 Jul 06.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 9433358 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8666 (Electronic) Linking ISSN: 10665277 NLM ISO Abbreviation: J Comput Biol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Culicidae*/classification , Image Processing, Computer-Assisted*/methods , Mosquito Vectors*/classification , Artificial Intelligence*, Animals ; Female ; Male ; Algorithms

Optimization of CBCT data with image processing methods and production with fused deposition modeling 3D printing.

Συγγραφείς: Sayin H; Department of Mechatronics Engineering, Faculty of Technology, Isparta University of Applied Sciences, Isparta, Turkey., Aksoy B; Department of Mechatronics Engineering, Faculty of Technology, Isparta University of Applied Sciences, Isparta, Turkey. bekiraksoy@isparta.edu.tr., Özsoy K; Department of Machine and Metal Technologies, Isparta OSB Vocational School, Isparta University of Applied Sciences, Isparta, Turkey., Yildirim D; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Suleyman Demirel University, Isparta, Turkey.

Πηγή: Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Aug; Vol. 63 (8), pp. 2235-2246. Date of Electronic Publication: 2023 Jul 28.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cone-Beam Computed Tomography*/methods , Image Processing, Computer-Assisted*/methods , Printing, Three-Dimensional*, Imaging, Three-Dimensional/methods ; Humans ; Artifacts ; Algorithms

Image-processing methods for electron microscopy of biological specimens.

Συγγραφείς: Sorzano COS; Centro Nacional de Biotecnología-CSIC, C/Darwin 3, Cantoblanco, 28049 Madrid, Spain., Bartesaghi A; Department of Biochemistry, Duke University School of Medicine, Durham, NC 27708, USA., Singer A; Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08540, USA.

Πηγή: Acta crystallographica. Section D, Structural biology [Acta Crystallogr D Struct Biol] 2025 Jun 01; Vol. 81 (Pt 6), pp. 276-277. Date of Electronic Publication: 2025 May 19.

Τύπος έκδοσης: Editorial; Introductory Journal Article

Στοιχεία περιοδικού: Publisher: John Wiley & Sons Country of Publication: United States NLM ID: 101676043 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2059-7983 (Electronic) Linking ISSN: 20597983 NLM ISO Abbreviation: Acta Crystallogr D Struct Biol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Microscopy, Electron*/methods, Humans

Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Συγγραφείς: Kang SH; Department of Radiological Science, Gachon University, 191, Hambakmoe-ro, Yeonsu-gu, Incheon, 21936, Republic of Korea., Kim K; Institute of Human Convergence Health Science, Gachon University, 191, Hambakmoe-ro, Yeonsu-gu, Incheon, 21936, Republic of Korea., Shim J; Department of Radiotechnology, Wonkwang Health Science University, 514, Iksan-daero, Iksan-si, Jeonbuk-do, 54538, Republic of Korea., Lee Y; Department of Radiological Science, Gachon University, 191, Hambakmoe-ro, Yeonsu-gu, Incheon, 21936, Republic of Korea. yj20@gachon.ac.kr.

Πηγή: Scientific reports [Sci Rep] 2025 Apr 17; Vol. 15 (1), pp. 13281. Date of Electronic Publication: 2025 Apr 17.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cerebral Arteries*/diagnostic imaging , Computed Tomography Angiography*/methods , Image Processing, Computer-Assisted*/methods , Deep Learning*, Humans ; Radiation Dosage ; Algorithms ; Datasets as Topic

Influence of different time framings, reconstruction algorithms and post‐processing methods on the quantification of myocardial blood flow from 13N‐NH3 PET images

Συγγραφείς: Shahnaz Akil, Anna E. Székely, Fredrik Hedeer, Berit Olsson, Henrik Engblom, Cecilia Hindorf

Πηγή: Clinical Physiology and Functional Imaging. 44:154-163

Θεματικοί όροι: 03 medical and health sciences, 0302 clinical medicine, Positron Emission Tomography Computed Tomography, Positron-Emission Tomography, Coronary Circulation, Image Processing, Computer-Assisted, Humans, Radiopharmaceuticals, Algorithms

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/37881129

A cognitive deep learning approach for medical image processing

Συγγραφείς: Fakhouri, Hussam N, Author, Alawadi, Sadi, Author, Awaysheh, Feras M, Author, Alkhabbas, Fahed, Author, Zraqou, Jamal, Author

Συνεισφορές: Fakhouri, Hussam N, Author, Alawadi, Sadi, Author, Awaysheh, Feras M, Author, Alkhabbas, Fahed, Author, Zraqou, Jamal, Author

Πηγή: Scientific Reports. 14(1)

Θεματικοί όροι: Algorithms, Cognition, Deep Learning, Fundus Oculi, Humans, Computer-Assisted Image Processing/methods, Retinal Vessels/diagnostic imaging

Περιγραφή αρχείου: electronic

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-66272
https://doi.org/10.1038/s41598-024-55061-1

Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement

Συγγραφείς: Pain, CD, Egan, GF, Chen, Z

Πηγή: Eur J Nucl Med Mol Imaging

Θεματικοί όροι: 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Positron-Emission Tomography, Image Processing, Computer-Assisted, Humans, Review Article, Algorithms

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/35312031

Hyperspectral image processing techniques for environmental monitoring: a comprehensive review.

Συγγραφείς: Lekha PS; Siddhartha Academy of Higher Education Deemed to Be University, Vijayawada, Andhra Pradesh, 520007, India. 24edp13012@vrsec.ac.in., Sirisha BL; Siddhartha Academy of Higher Education Deemed to Be University, Vijayawada, Andhra Pradesh, 520007, India.

Πηγή: Environmental monitoring and assessment [Environ Monit Assess] 2026 Jun 27; Vol. 198 (7). Date of Electronic Publication: 2026 Jun 27.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Environmental Monitoring*/methods , Hyperspectral Imaging*/methods , Remote Sensing Technology* , Image Processing, Computer-Assisted*

Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

Συγγραφείς: Myslicka, Maria, Kawala-Sterniuk, Aleksandra, Bryniarska, Anna, Sudol, Adam, Podpora, Michał, Gasz, Rafał, Martinek, Radek, Vilimkova, Radana, Vilimek, Dominik, Pelc, Mariusz, Mikołajewski, Dariusz

Πηγή: Archives of Dermatological Research. 316

Θεματικοί όροι: Canada, Skin Neoplasms, Image processing, Artificial Intelligence, Data analysis, Diomedical engineering, Image Processing, Computer-Assisted, Humans, Skin cancer diagnostics, Skin

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38446274
https://link.springer.com/article/10.1007/s00403-024-02828-1
https://doi.org/10.1007/s00403-024-02828-1

The Effect of Ultrasound Image Pre-Processing on Radiomics Feature Quality: A Study on Shoulder Ultrasound.

Συγγραφείς: Triantafyllou M; Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece., Vassalou EE; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece., Goulianou AM; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece., Tosounidis TH; Department of Orthopaedic Surgery, Medical School, University of Crete, 71110, Heraklion, Crete, Greece., Marias K; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece.; Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Crete, Greece., Karantanas AH; Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece.; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece., Klontzas ME; Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece. miklontzas@gmail.com.; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece. miklontzas@gmail.com.; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece. miklontzas@gmail.com.; Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden. miklontzas@gmail.com.

Πηγή: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec; Vol. 38 (6), pp. 4184-4195. Date of Electronic Publication: 2025 Feb 06.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Shoulder*/diagnostic imaging , Calcinosis*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Tendinopathy*/diagnostic imaging, Ultrasonography/methods ; Rotator Cuff/diagnostic imaging ; Humans ; Reproducibility of Results ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; Adult ; Radiomics

Predictive selection rule of favourable image processing methods for X-ray micro-computed tomography images of tablets.

Συγγραφείς: Bollmann S; Heinrich Heine University Duesseldorf, Institute of Pharmaceutics and Biopharmaceutics, Universitaetsstrasse 1, Duesseldorf 40225, Germany., Kleinebudde P; Heinrich Heine University Duesseldorf, Institute of Pharmaceutics and Biopharmaceutics, Universitaetsstrasse 1, Duesseldorf 40225, Germany. Electronic address: kleinebudde@hhu.de.

Πηγή: International journal of pharmaceutics [Int J Pharm] 2021 Dec 15; Vol. 610, pp. 121207. Date of Electronic Publication: 2021 Oct 29.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7804127 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3476 (Electronic) Linking ISSN: 03785173 NLM ISO Abbreviation: Int J Pharm Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Excipients* , Image Processing, Computer-Assisted*, Algorithms ; Drug Compounding ; Tablets ; X-Ray Microtomography

Effect of using different fundus cameras and image resolutions on automatic measurements of retinal vascular parameters.

Συγγραφείς: Cunnac P; Department of Ophthalmology, Grenoble-Alpes University Hospital, Grenoble cedex 09, France.; Grenoble-Alpes University, INSERM U1300, Laboratory, Grenoble, HP2, France., Boussat B; Department of Public Health, University Hospital of Grenoble-Alpes, Grenoble-Alpes , France., Hogg S; School of Science and Engineering, VAMPIRE project, University of Dundee, Computing, Dundee, UK., Geiser M; System engineering institute, HES-SO, Sion, Switzerland., MacGillivray T; VAMPIRE project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK., Trucco E; School of Science and Engineering, VAMPIRE project, University of Dundee, Computing, Dundee, UK., Chiquet C; Department of Ophthalmology, Grenoble-Alpes University Hospital, Grenoble cedex 09, France. christophe.chiquet@inserm.fr.; Grenoble-Alpes University, INSERM U1300, Laboratory, Grenoble, HP2, France. christophe.chiquet@inserm.fr.; Department of Ophthalmology, Grenoble Alpes University Hospital, CS 10217, Grenoble cedex09, 38043, France. christophe.chiquet@inserm.fr.

Πηγή: Scientific reports [Sci Rep] 2026 Mar 21; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 21.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Retinal Vessels*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Fundus Oculi*, Humans ; Software ; Female ; Male ; Adult

Computational and Image Processing Methods for Analysis and Automation of Anatomical Alignment and Joint Spacing in Reconstructive Surgery

Συγγραφείς: Usamah N. Chaudhary, Cambre N. Kelly, Benjamin R. Wesorick, Cameron M. Reese, Ken Gall, Samuel B. Adams, Guillermo Sapiro, J. Matías Di Martino

Πηγή: International Journal of Computer Assisted Radiology and Surgery. 17:541-551

Θεματικοί όροι: Automation, 03 medical and health sciences, 0302 clinical medicine, 0206 medical engineering, Image Processing, Computer-Assisted, Humans, 02 engineering and technology, Plastic Surgery Procedures, Tomography, X-Ray Computed, Algorithms, 3. Good health

Σύνδεσμος πρόσβασης: https://www.biorxiv.org/content/biorxiv/early/2021/04/05/2021.04.04.438341.full.pdf
https://pubmed.ncbi.nlm.nih.gov/35099684

Phase-Pole-Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion.

Συγγραφείς: Blumenthal M; Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria., Uecker M; Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria.; Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.; DZHK (German Centre for Cardiovascular Research), Germany.; BioTechMed-Graz, Graz, Austria.

Πηγή: Magnetic resonance in medicine [Magn Reson Med] 2026 Jul; Vol. 96 (1), pp. 134-145. Date of Electronic Publication: 2026 Mar 12.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Magnetic Resonance Imaging*/methods , Heart*/diagnostic imaging, Brain/diagnostic imaging ; Image Enhancement/methods ; Humans ; Algorithms ; Nonlinear Dynamics ; Reproducibility of Results ; Sensitivity and Specificity

Real-Time, Inline Quantitative MRI Enabled by Scanner-Integrated Machine Learning: A Proof of Principle With NODDI.

Συγγραφείς: Rot S; Hawkes Institute and Department of Computer Science, UCL, London, UK.; NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK., Dragonu I; Research and Collaborations GBI, Siemens Healthcare Ltd, Camberley, UK., Triantafyllou C; Research and Collaborations GBI, Siemens Healthcare Ltd, Camberley, UK., Grech-Sollars M; Hawkes Institute and Department of Computer Science, UCL, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK., Papadaki A; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.; Neuroradiological Academic Unit, Dept of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, UCL, London, UK., Mancini L; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.; Neuroradiological Academic Unit, Dept of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, UCL, London, UK., Wastling S; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.; Neuroradiological Academic Unit, Dept of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, UCL, London, UK., Steeden J; Centre for Cardiovascular Imaging, Institute of Cardiovascular Science, UCL, London, UK., Thornton JS; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.; Neuroradiological Academic Unit, Dept of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, UCL, London, UK., Yousry T; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.; Neuroradiological Academic Unit, Dept of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, UCL, London, UK., Gandini Wheeler-Kingshott CAM; NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK.; Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy.; Digital Neuroscience Centre, IRCCS Mondino Foundation, Pavia, Italy., Thomas DL; Neuroradiological Academic Unit, Dept of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, UCL, London, UK., Alexander DC; Hawkes Institute and Department of Computer Science, UCL, London, UK., Zhang H; Hawkes Institute and Department of Computer Science, UCL, London, UK.

Πηγή: Magnetic resonance in medicine [Magn Reson Med] 2026 Aug; Vol. 96 (2), pp. 986-995. Date of Electronic Publication: 2026 May 05.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Magnetic Resonance Imaging*/methods , Brain*/diagnostic imaging , Machine Learning* , Diffusion Magnetic Resonance Imaging*, Humans ; Neural Networks, Computer ; Algorithms ; Neurites ; Computer Systems

Computational Approaches to Revisiting Plant Cytoskeleton Organization and Dynamics.

Συγγραφείς: Ono H; Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan., Higaki T; Graduate School of Science and Technology, Kumamoto University, Kumamoto, Japan.; Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, Japan.

Πηγή: Cytoskeleton (Hoboken, N.J.) [Cytoskeleton (Hoboken)] 2026 Jun; Vol. 83 (6), pp. 376-383. Date of Electronic Publication: 2025 Jun 06.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 101523844 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1949-3592 (Electronic) Linking ISSN: 19493592 NLM ISO Abbreviation: Cytoskeleton (Hoboken) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cytoskeleton*/metabolism , Image Processing, Computer-Assisted*/methods , Plants*/metabolism, Microtubules/metabolism

Evaluation of MRI post-processing methods combined with PET in detecting focal cortical dysplasia lesions for patients with MRI-negative epilepsy

Συγγραφείς: Zhe Qian, Jiuluan Lin, Rifeng Jiang, Stéphane Jean, Yihai Dai, Donghuo Deng, Panashe Tevin Tagu, Lin Shi, Shiwei Song

Πηγή: Seizure: European Journal of Epilepsy. 117:275-283

Θεματικοί όροι: Adult, Male, Epilepsy, Adolescent, Middle Aged, Magnetic Resonance Imaging, Multimodal Imaging, Focal Cortical Dysplasia, Young Adult, Positron-Emission Tomography, Image Processing, Computer-Assisted, Humans, Female, Child, Retrospective Studies

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38579502

A multimodal feature fusion with deep representation learning approach for polycystic ovary syndrome diagnosis using ultrasound images.

Συγγραφείς: Kranthi S; Department of Information Technology, Siddhartha Academy of Higher Education, Deemed to be University Vijayawada, Kanuru, 520007, Andhra Pradesh, India., Sandeep Y; Department of Information Technology, Siddhartha Academy of Higher Education, Deemed to be University Vijayawada, Kanuru, 520007, Andhra Pradesh, India., Pranathi K; Department of Information Technology, Siddhartha Academy of Higher Education, Deemed to be University Vijayawada, Kanuru, 520007, Andhra Pradesh, India., Laxmi Lydia E; Department of Computer Science and Engineering, Vignan's Institute of Engineering for Women, Visakhapatnam, 530046, India., Joshi GP; Department Electronic and AI System Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea. joshi@kangwon.ac.kr., Cho W; Department Electronic and AI System Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea. wcho@kangwon.ac.kr.

Πηγή: Scientific reports [Sci Rep] 2026 Feb 20; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 20.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Polycystic Ovary Syndrome*/diagnostic imaging , Polycystic Ovary Syndrome*/diagnosis , Image Processing, Computer-Assisted*/methods , Deep Learning*, Ultrasonography/methods ; Ovary/diagnostic imaging ; Female ; Humans

Optimized wheat seed classification using YOLO with morphological image feature enhancement.

Συγγραφείς: Deepika B; Department of Computer Science and Engineering, Dhanalakshmi Srinivasan University, Samayapuram, Tiruchirappalli, 621 112, Tamil Nadu, India., Shanmugapriya N; Department of Artificial Intelligence & Data Science, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Samayapuram, Tiruchirappalli, 621 112, Tamil Nadu, India. shanmugapriyan.set@dsuniversity.ac.in., Gopi R; Department of Computer Science and Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, 621 212, Tamil Nadu, India.

Πηγή: Scientific reports [Sci Rep] 2026 Feb 28; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 28.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Triticum*/classification , Triticum*/anatomy & histology , Seeds*/classification , Seeds*/anatomy & histology , Image Processing, Computer-Assisted*/methods, Detection Algorithms ; Algorithms ; Deep Learning

FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images.

Συγγραφείς: Mikheev A; Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA., DiMartino JM; Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA., Bokacheva L; Department of Neurology, NYU Grossman School of Medicine, New York, NY, 10016, USA., Rusinek H; Department of Radiology, NYU Grossman School of Medicine, 660 First Ave, Rm. 413, New York, NY, 10016, USA. hr18@nyu.edu.

Πηγή: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec; Vol. 38 (6), pp. 3397-3416. Date of Electronic Publication: 2025 Feb 03.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Multimodal Imaging*/methods , Software*, Humans ; User-Computer Interface ; Magnetic Resonance Imaging