Feb 3, 2021 · The eight papers in this special section focus on novel theories and methods using transfer learning proposed for medical imaging and health ...

This special issue focuses primarily on novel theories and methods using transfer learning proposed for medical imaging and health information processes. Our ...

THIS special section of the IEEE/ACM Transactions on. Computational Biology and Bioinformatics is a selection of eight papers presented at the special issue ...

Nov 30, 2019 · This special issue focuses primarily on novel theories and methods using transfer learning proposed for medical imaging and health information ...

Data augmentation and transfer learning are the two most commonly used approaches to enhance the practicability of the DL algorithms in medical imaging.

Transfer learning (TL) aims to apply the knowledge gained via solving a source problem to a different but related target problem. One commonly used TL method is ...

Apr 25, 2022 · Deep Learning for Medical Imaging and Health Informatics. Last update 25 April 2022. Guest Editors: Hong Lin; Bahman Javadi; Joy Martis; Steven ...

Medical Imaging Fusion Techniques: A Survey Benchmark Analysis, Open Challenges and Recommendations · Using Artificial Intelligence Methods for Dental Image ...

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Sep 21, 2023 · This review article presents an in-depth analysis of DL applications in medical imaging, focusing on the challenges, methods, and future perspectives.