Oral Cancer Detection Using Deep Learning

Authors: Chavva, Renuka, S, Jeba Priya, Mathu

Source: 2024 International Conference on Science Technology Engineering and Management (ICSTEM) Science Technology Engineering and Management (ICSTEM), 2024 International Conference on. :1-6 Apr, 2024

Relation: 2024 International Conference on Science Technology Engineering and Management (ICSTEM)

EFFICIENT RETINAL IMAGE SEGMENTATION BY U-NET FOR AGE-RELATED MACULAR DEGENERATION DIAGNOSIS

Authors: S Sujatha, Pramod Pandey, D Gnana Rajesh

Source: International Journal of Advances in Signal and Image Sciences, Vol 10, Iss 2, Pp 48-57 (2024)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7, biomedical imaging, age-related macular degeneration, deep learning, image analysis, macular deterioration, TP248.13-248.65, Biotechnology

Access URL: https://doaj.org/article/91326d11dc4a4b97a5c8e882ef252322

A spheroid whole mount drug testing pipeline with machine-learning based image analysis identifies cell-type specific differences in drug efficacy on a single-cell level

Authors: Mario Vitacolonna, Roman Bruch, Richard Schneider, Julia Jabs, Mathias Hafner, Markus Reischl, Rüdiger Rudolf

Source: BMC Cancer, Vol 24, Iss 1, Pp 1-23 (2024)

Subject Terms: 3D co-culture, 3D drug testing, Deep-learning image analysis, Tumor microenvironment, Single-cell analysis, Drug resistance, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2407

Access URL: https://doaj.org/article/94688b951250495fb6faafe8830e39c4

Automated estimation of offshore polymetallic nodule abundance based on seafloor imagery using deep learning

Authors: Tomczak, Arkadiusz ^{a, ⁎}, Kogut, Tomasz ^a, Kabała, Karol ^a, Abramowski, Tomasz ^a, Ciążela, Jakub ^b, Giza, Andrzej ^c

Source: In Science of the Total Environment 15 December 2024 956

Facial recognition application for border control

Authors: Carlos-Roca, Laura Rodriguez, Torres, Isabelle Hupont, Tena, Carles Fernandez

Source: 2018 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2018 International Joint Conference on. :1-7 Jul, 2018

Relation: 2018 International Joint Conference on Neural Networks (IJCNN)

Deep Learning‐Based Classification of Histone–DNA Interactions Using Drying Droplet Patterns

Authors: Safoura Vaez, Bahar Dadfar, Meike Koenig, Matthias Franzreb, Joerg Lahann

Source: Small Science, Vol 4, Iss 11, Pp n/a-n/a (2024)

Subject Terms: coffee ring, deep learning image analysis, drying droplet, histone–DNA interaction, Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: https://doaj.org/toc/2688-4046

Access URL: https://doaj.org/article/2b8bc477a1ca4686ad69894c336f2609

Imaging biomacromolecules in action with liquid-phase electron microscopy

Authors: Li, Jia-ye ^{1, 2}, Sun, He ^{2, 3}, Wang, Huan ^{1, 2, ⁎}

Source: In Trends in Chemistry June 2024 6(6):281-284

Comparison of Deep Transfer Learning Models for the Quantification of Photoelastic Images

Authors: Seongmin Kim, Boo Hyun Nam, Young-Hoon Jung

Source: Applied Sciences, Vol 14, Iss 2, p 758 (2024)

Subject Terms: reflection photoelastic method, deep learning image analysis, transfer learning model, prediction performance evaluation, granular materials, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/2/758; https://doaj.org/toc/2076-3417; https://doaj.org/article/c31ccff7396446429c98a7e7d3313fb6

Availability: https://doi.org/10.3390/app14020758
https://doaj.org/article/c31ccff7396446429c98a7e7d3313fb6

Deep learning and chemical constraints allow accurate segmentation of µCT data from metamorphic rocks

Authors: Roberto Emanuele Rizzo, Damien Freitas, James Gilgannon, Sohan Seth, Ian B. Butler, John Wheeler, Federica Marone, Christian Schlepuetz, Gina McGill, Olivier Plümper, Florian Fusseis

Subject Terms: Deep Learning, Image Analysis, Synchrotron, Micro-Computed Tomography, Rocks, Faults, Rock Deformation, Rock Mechanics

File Description: application/pdf

Access URL: https://hdl.handle.net/2158/1309606
https://doi.org/10.5194/egusphere-egu23-7120

Segmentation of Petri Plate Images for Automatic Reporting of Urine Culture Tests

Authors: Bonechi, Simone, Bianchini, Monica, Mecocci, Alessandro, Scarselli, Franco, Andreini, Paolo

Contributors: Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain, Bonechi, Simone, Bianchini, Monica, Mecocci, Alessandro, Scarselli, Franco, Andreini, Paolo

Source: Intelligent Systems Reference Library ISBN: 9783030791605

Subject Terms: Automatic urine culture screening, Automatic urine culture screening, Deep learning, Image analysis, Deep learning, 6. Clean water, Image analysis

File Description: application/pdf; STAMPA

Access URL: https://link.springer.com/chapter/10.1007/978-3-030-79161-2_5
https://hdl.handle.net/11365/1156117
https://link.springer.com/chapter/10.1007/978-3-030-79161-2_5
https://doi.org/10.1007/978-3-030-79161-2_5

A Study of The Deep Learning-based Monitoring and Efficient Numerical Modeling Methodologies for Crystallization Processes

Authors: Wu, Yuanyi

Source: Electronic Thesis and Dissertation Repository

Subject Terms: Shape and size characterization, Process Control and Systems, Deep learning Image analysis, Solution of population balance equation, Crystallization process, Process analytical technology, Automated experiments

File Description: application/pdf

Access URL: https://ir.lib.uwo.ca/etd/7813

The Emergence of Pathomics

Authors: Gupta, Rajarsi^{Aff1, Aff2}, Kurc, Tahsin, Sharma, Ashish, Almeida, Jonas S., Saltz, Joel^{Aff1, cor5}

Source: Current Pathobiology Reports. 7(3):73-84

Toward Improving Procedural Terrain Generation With GANs

Authors: Mattull, William A.

Committee Members: Djordjevic, Zoran; Jaume, Sylvain

URL: https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37365041

Finding and following: a deep learning-based pipeline for tracking platelets during thrombus formation in vivo and ex vivo

Authors: McGovern, Abigail S., Larsson, Pia, Tarlac, Volga, Setiabakti, Natasha, Shabani Mashcool, Leila, Hamilton, Justin R., Boknäs, Niklas, Nunez-Iglesias, Juan

Index Terms: Deep learning; image analysis; platelets; segmentation; thrombosis; tracking, Biomedical Laboratory Science/Technology, Biomedicinsk laboratorievetenskap/teknologi, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-203555
Platelets, 0953-7104, 2024, 35:1

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

Authors: Abels, Esther, Pantanowitz, Liron, Aeffner, Famke, Zarella, Mark D., van der Laak, Jeroen, Bui, Marilyn M., Vemuri, Venkata N. P., Parwani, Anil V., Gibbs, Jeff, Agosto-Arroyo, Emmanuel, Beck, Andrew H., Kozlowski, Cleopatra

Index Terms: artificial intelligence; computational pathology; convolutional neural networks; digital pathology; deep learning; image analysis; machine learning, Computer Vision and Robotics (Autonomous Systems), Datorseende och robotik (autonoma system), Article, review/survey, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160596
Journal of Pathology, 0022-3417, 2019, 249:3, s. 286-294

Convolutional neural network on three orthogonal planes for dynamic texture classification

Authors: Andrearczyk, Vincent, Whelan, Paul F.

Source: Andrearczyk, Vincent and Whelan, Paul F. ORCID: 0000-0001-9230-7656 <

Index Terms: Image processing, computer vision; deep learning; image analysis; Convolutional Neural Networks; Texture Classification; Dynamic Texture, Article, PeerReviewed

URL: http://doras.dcu.ie/22093/
http://doras.dcu.ie/22093/1/1703.05530.pdf
https://doi.org/10.1016/j.patcog.2017.10.030
http://doras.dcu.ie/22093/1/1703.05530.pdf
https://doi.org/10.1016/j.patcog.2017.10.030