Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging

Wahyu Rahmaniar, Zhipeng Deng, Yuqiao Yang

Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images

Daniel Kermany

Object Detection and Image Annotation Using Deep Learning

Iterative deep convolutional encoder-decoder network for medical image segmentation

Jung Uk Kim, Hak Gu Kim, Yong Man Ro

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging

Sarah Müller, Louisa Fay, Lisa Margret Koch

Machine Learning and Deep Learning Approaches for Healthcare Predictive Analytics

B. Sai Ram Charan, Dasu Jaswanth, Edam Hemanth

Polyp Image Detection and Classification Using Deep Learning

Yao-Tien Chen, Nisar Ahmad, Jin-Wei Liang

Recent advances in deep-learning-enhanced photoacoustic imaging

Jinge Yang, Seongwook Choi, Jiwoong Kim

From Conventional Approach to Machine Learning and Deep Learning Approach: An Experimental and Comprehensive Review of Image Fusion Techniques

Gaurav Choudhary, Dinesh Sethi

15 Years of optimizers in medical deep learning: A systematic review

Selorm Adablanu, Utpal Barman, Dulumani Das

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis

Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng et al.

Applications of machine learning and deep learning to thyroid imaging: where do we stand?

Eun Ju Ha, Jung Hwan Baek