Mesh-based segmentation for automated margin line generation on incisors receiving crown treatment

Authors: Ammar Alsheghri, Ying Zhang, Farnoosh Ghadiri, Julia Keren, Farida Cheriet, Francois Guibault

Source: Mathematics and Computers in Simulation. 239:716-728

Subject Terms: Machine Learning, Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, Computational Engineering, Finance, and Science, 3D Shape Modeling and Analysis, Computer Vision and Pattern Recognition (cs.CV), Computational Mechanics, Medical Image Segmentation Techniques, Dental Radiography and Imaging, Computer Vision and Pattern Recognition, Oral Surgery, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2507.22859
https://publications.polymtl.ca/66983/
https://doi.org/10.1016/j.matcom.2025.07.054

Self-supervised Pretraining and Multi-label Decoding for Intracranial Hemorrhage Segmentation

Subject Terms: Neurology, Medical Image Segmentation Techniques, Computer Vision and Pattern Recognition, Intracerebral and Subarachnoid Hemorrhage Research, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/69063/

TRADITIONAL TECHNIQUES versus KNOWLEDGE-BASED METHODS in IMAGE ANALYSIS

Source: Computer Analysis of Images and Patterns. Dec 09, 2024

Backpropagation Techniques in SNN and Application in Image Segmentation

Authors: Chakravarty, Sumit, Tanveer, M. Hassan, Voicu, Razvan C., Banerjee, Madhushri, Mahdi, Ghulam

Source: SoutheastCon 2024 SoutheastCon, 2024. :1475-1481 Mar, 2024

Relation: SoutheastCon 2024

Prompt learning with bounding box constraints for medical image segmentation

Authors: Gaillochet, Mélanie, Noori, Mehrdad, Dastani, Sahar, Desrosiers, Christian, Lombaert, Hervé

Source: IEEE Transactions on Biomedical Engineering. :1-10

Subject Terms: FOS: Computer and information sciences, Neurology, Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Medical Image Segmentation Techniques, AI in cancer detection, Computer Vision and Pattern Recognition, Brain Tumor Detection and Classification

Access URL: http://arxiv.org/abs/2507.02743
https://publications.polymtl.ca/66305/
https://doi.org/10.1109/tbme.2025.3582749

A Histogram-Based Heuristic for an Adaptive Active Contours Color Image Segmentation

Authors: Yamina Boutiche, Abdelhamid Abdesselam, Naim Ramou, Nabil Chetih, Mohammed Khorchef

Source: Image Analysis and Stereology, Vol 43, Iss 2 (2024)

Subject Terms: Medicine (General), Artificial intelligence, MRI Segmentation, Geometry, Heuristic, Statistical Shape Models, Image Segmentation, Pattern recognition (psychology), Mathematical analysis, R5-920, Multispectral and Hyperspectral Image Fusion, Engineering, Segmentation, Energy functional, Color space, QA1-939, Media Technology, FOS: Mathematics, Image (mathematics), Image Segmentation Techniques, Scalar (mathematics), Computer network, Histogram, 4. Education, Active contours, Computer science, Adaptive weights, Algorithm, Color images, Piecewise, Channel (broadcasting), Computer Science, Physical Sciences, Color spaces, Texture Analysis, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Mathematics

Access URL: https://doaj.org/article/02221699976342a2b045a9f113ab2046

Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks

Authors: Hán Trọng Thanh, Hinh Nguyen Van, Phat Nguyen Huu

Source: Journal of Electrical and Computer Engineering, Vol 2024 (2024)

Subject Terms: Artificial neural network, Computer engineering. Computer hardware, Artificial intelligence, MRI Segmentation, Deformable Image Registration, 02 engineering and technology, Image Segmentation, Pattern recognition (psychology), Computer science, Filter (signal processing), TK7885-7895, Multispectral and Hyperspectral Image Fusion, Engineering, Computer Science, Physical Sciences, Image denoising, Media Technology, Medical Image Analysis, 0202 electrical engineering, electronic engineering, information engineering, Image Segmentation Techniques, Image Denoising, Computer vision, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Noise reduction

Access URL: https://doaj.org/article/8872c482fd1a4618983f79abd853500f

Automatic design of W-operators using membership functions: a case study in brain MRI segmentation

Authors: Emilio José Robalino Trujillo, Agustina Bouchet, Virginia L. Ballarin, Juan Ignacio Pastore

Source: Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)

Subject Terms: Artificial intelligence, MAGNETIC RESONANCE IMAGES, 4. Education, SEGMENTATION, 02 engineering and technology, 15. Life on land, Pattern recognition (psychology), Computer science, 7. Clean energy, Segmentation, Computer Science, Physical Sciences, Shape Matching and Object Recognition, 0202 electrical engineering, electronic engineering, information engineering, Computational Modeling of Visual Saliency Detection, MEMBERSHIP FUNCTIONS, GENERALIZATION PROBLEM, Image Segmentation Techniques, W-OPERATORS, Computer Vision and Pattern Recognition

File Description: application/pdf

Access URL: https://hdl.handle.net/10651/74917
http://hdl.handle.net/11336/254637

An Analysis of Image Segmentation Methods for Brain Tumour Detection on MRI Images

Authors: Goswami, Anurag, Dixit, Manish

Source: 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT) Communication Systems and Network Technologies (CSNT), 2020 IEEE 9th International Conference on. :318-322 Apr, 2020

Relation: 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT)

Optimal image 2D/3D by Krawtchouk moments and ABC algorithm

Authors: Amira Youssef, Omar El Ogri, Jaouad El-Mekkaoui, Mohamed Benslimane, Amal Hjouji

Source: Statistics, Optimization & Information Computing. 12:672-684

Subject Terms: Autofocusing in Microscopy and Photography, Artificial intelligence, Image Processing, 4. Education, Deformable Image Registration, Digital Imaging, Image Segmentation, Computer science, Algorithm, Multispectral and Hyperspectral Image Fusion, Engineering, Computer Science, Physical Sciences, Media Technology, Image (mathematics), FOS: Mathematics, Image Segmentation Techniques, Computer vision, Computer Vision and Pattern Recognition, Image Fusion, Mathematics

Optimal reconstruction and recognition of images by Jacobi Fourier moments and artificial bee colony (ABC) algorithm

Authors: Saad Yahya, Jaouad El-Mekkaoui, Mohamed Benslimane, Boujamaa Janati Idrissi, Omar El Ogri, Amal Hjouji

Source: Statistics, Optimization & Information Computing. 12:829-840

Subject Terms: Artificial bee colony algorithm, Artificial intelligence, 4. Education, Image Segmentation, Computer science, Mathematical analysis, Machine Learning, Algorithm, Shape Matching and Object Recognition, Computer Science, Physical Sciences, Image Annotation, Fourier transform, FOS: Mathematics, Image Segmentation Techniques, Image Denoising, Computer vision, Computer Vision and Pattern Recognition, Content-Based Image Retrieval, Image Denoising Techniques and Algorithms, Mathematics

Preprocessing Techniques for Rectal Cancer Diagnosis using MR Images

Authors: Sonal Patreena D'Almeida, Surekha Kamath, Rajagopal Kadavigere, K. Manjunath

Source: Proceedings of the 2024 13th International Conference on Software and Computer Applications. :185-191

Subject Terms: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, MRI Segmentation, Biomedical Engineering, FOS: Medical engineering, Radiomics in Medical Imaging Analysis, Cancer Imaging, Engineering, Medical Imaging, Health Sciences, Image Segmentation Techniques, Automated Spine Segmentation and Identification, Internal medicine, Preprocessor, Cancer, 4. Education, Computer science, Colorectal cancer, Computer-Aided Diagnosis, 3. Good health, Physical Sciences, Computer Science, Medical Image Analysis, Medicine, Computer vision, Computer Vision and Pattern Recognition

Enhanced Global Image Segmentation: Addressing Pixel Inhomogeneity and Noise with Average Convolution and Entropy-Based Local Factor

Authors: Ibrar Hussain, Jan Muhammad, Rifaqat Ali

Source: International Journal of Knowledge and Innovation Studies. 1:116-126

Subject Terms: Artificial intelligence, Scale-space segmentation, MRI Segmentation, Computational Mechanics, Noise (video), Image Segmentation, Pattern recognition (psychology), Quantum mechanics, 12. Responsible consumption, Engineering, Segmentation, Compressed Sensing, Segmentation-based object categorization, 11. Sustainability, Image (mathematics), Entropy (arrow of time), Image Segmentation Techniques, Image Denoising, 14. Life underwater, Image segmentation, Physics, 15. Life on land, Theory and Applications of Compressed Sensing, Computer science, 3. Good health, 13. Climate action, Outlier, Computer Science, Physical Sciences, 8. Economic growth, Texture Analysis, Computer vision, Computer Vision and Pattern Recognition, Pixel, Image Denoising Techniques and Algorithms

A Rigid Image Registration by Combined Local Features and Genetic Algorithms

Authors: Fatiha Meskine, Oussama Mezouar

Source: Applied Computer Systems, Vol 28, Iss 2, Pp 252-257 (2023)

Subject Terms: Artificial intelligence, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, Image Retrieval, Simultaneous Localization and Mapping, Image Segmentation, genetic algorithms, QA76.75-76.765, 03 medical and health sciences, 0302 clinical medicine, Engineering, Image Feature Retrieval and Recognition Techniques, Image processing, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Image Segmentation Techniques, Computer software, rigid transformation, Image registration, Object Recognition, 4. Education, Deformable Image Registration, Computer science, Programming language, combined local feature points, Algorithm, image registration, Genetic algorithm, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Feature Matching, Software

Access URL: https://doaj.org/article/ca87aaa187254375b085c43eeccb0dac

CAT-Seg: cascaded medical assistive tool integrating residual attention mechanisms and Squeeze-Net for 3D MRI biventricular segmentation

Authors: Doaa A. Shoieb, Karma M. Fathalla, Sherin M. Youssef, Ahmed Younes

Source: Phys Eng Sci Med

Subject Terms: Artificial intelligence, MRI Segmentation, Heart Ventricles, CT and MRI, Biomedical Engineering, Cardiology, Scientific Paper, FOS: Medical engineering, Image Segmentation, Pattern recognition (psychology), Engineering, Segmentation, Magnetic resonance imaging, Image Processing, Computer-Assisted, Humans, Image Segmentation Techniques, Confusion, Automated Spine Segmentation and Identification, Cardiac magnetic resonance imaging, Region of interest, Image segmentation, Accidental Injuries, Myocardium, Heart, Magnetic Resonance Imaging, Computer science, Computer-Aided Diagnosis, 3. Good health, Algorithm, Residual, Computer Science, Physical Sciences, Medicine, Deep Learning in Computer Vision and Image Recognition, Ventricle, Computer Vision and Pattern Recognition, Radiology

Access URL: https://pubmed.ncbi.nlm.nih.gov/37999903

Computing the minimal perimeter polygon for sets of rectangular tiles based on visibility cones

Authors: Petra Wiederhold

Source: Journal of Mathematical Imaging and Vision. 66:873-903

Subject Terms: Financial economics, Artificial intelligence, Economics, Geometry, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Convexity, Context (archaeology), Connected Component Labeling Algorithms, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Polygon (computer graphics), Image Segmentation Techniques, Computer Graphics and Visualization Techniques, Perimeter, Biology, Discrete Geometry, Physics, 4. Education, Paleontology, Optics, Computer Graphics and Computer-Aided Design, Computer science, Algorithm, Computer Science, Physical Sciences, Telecommunications, Visibility, Computer Vision and Pattern Recognition, Pixel, Correctness, Mathematics, Frame (networking)

Synthesizing Retinal Images using End-To-End VAEs-GAN Pipeline-Based Sharpening and Varying Layer

Authors: Ali Q Saeed, Siti Norul Huda Sheikh Abdullah, Jemaima Che-Hamzah, Ahmad Tarmizi Abdul Ghani, Waleed Abdel karim Abu-ain

Source: Multimedia Tools and Applications. 83:1283-1307

Subject Terms: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Deep Learning in Medical Image Analysis, Fundus (uterus), Set (abstract data type), Image Analysis, Sharpening, End-to-end principle, Image Segmentation, Pattern recognition (psychology), 03 medical and health sciences, Detection and Management of Retinal Diseases, 0302 clinical medicine, Artificial Intelligence, Health Sciences, Image (mathematics), Image Segmentation Techniques, Code (set theory), Deep learning, Vessel Segmentation, Deformable Image Registration, Autoencoder, Computer science, Programming language, Ophthalmology, Computer Science, Physical Sciences, Medicine, Texture Analysis, Pipeline (software), Computer vision, Computer Vision and Pattern Recognition, Generative adversarial network

Contextual information extraction in brain tumour segmentation

Authors: Maryam Zia, Usman Ali Baig, Zaka Ur Rehman, Muhammad Yaqub, Shahzad Ahmed, Yudong Zhang, Shuihua Wang‎, Rizwan Khan

Source: IET Image Processing, Vol 17, Iss 12, Pp 3371-3391 (2023)

Subject Terms: Artificial intelligence, MRI Segmentation, Brain Tumors, Geometry, Classification of Brain Tumor Type and Grade, attention gate, 02 engineering and technology, Image Segmentation, Pattern recognition (psychology), Feature Extraction, Dropout (neural networks), QA76.75-76.765, 03 medical and health sciences, 0302 clinical medicine, Segmentation, Context (archaeology), convolutional neural networks, Machine learning, Photography, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Image Segmentation Techniques, Computer software, modified 3D U‐net, TR1-1050, 10. No inequality, Biology, Voxel, Life Sciences, Paleontology, context aware 3D ARDUNet, Computer science, attentional residual dropout block, 3. Good health, Algorithm, Neurology, residual dropout block, Residual, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Semantic Segmentation, Computer vision, Computer Vision and Pattern Recognition, Block (permutation group theory), Mathematics, Neuroscience

Access URL: https://doaj.org/article/9e805cad93cd42bda299c7f9594c4ed2

Dithering techniques and segmentation analysis on a mammogram breast cancer image

Authors: S. Saravanan, Aravind Britto K. R., Sandeep Kumar M, Prabhu Jayagopal, V E Sathishkumar

Source: Applied and Computational Engineering. 6:1183-1188

Subject Terms: Artificial intelligence, Deep Learning in Medical Image Analysis, Pansharpening, Image Segmentation, 7. Clean energy, Dither, Multispectral and Hyperspectral Image Fusion, Engineering, Segmentation, Quantization (signal processing), Image processing, Artificial Intelligence, Media Technology, Image (mathematics), Image quality, Image Segmentation Techniques, Noise shaping, Image segmentation, Computer graphics (images), 4. Education, Computer science, Binary image, Peak signal-to-noise ratio, Contouring, Computer Science, Physical Sciences, Medical Image Analysis, Color quantization, Computer vision, Computer Vision and Pattern Recognition

Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency

Authors: Tao Li, Jian Yu, Cheng Meng

Source: Journal of Computational and Graphical Statistics. 32:1501-1511

Subject Terms: Parallel computing, Artificial intelligence, Feature (linguistics), Biomedical Engineering, Classification of Brain Tumor Type and Grade, FOS: Medical engineering, 01 natural sciences, Visual Object Tracking and Person Re-identification, Database, Engineering, Theoretical computer science, Image Feature Retrieval and Recognition Techniques, Artificial Intelligence, 0502 economics and business, Image Segmentation Techniques, 0101 mathematics, Automated Spine Segmentation and Identification, 05 social sciences, Scalability, Life Sciences, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Neurology, Advances in Transfer Learning and Domain Adaptation, Computer Science, Physical Sciences, FOS: Languages and literature, Dependency (UML), Computer Vision and Pattern Recognition, Neuroscience