Moving from ImageNet to RadImageNet for Improved Transfer Learning and Generalizability

See also the article by Mei et al in this issue. Alexandre Cadrin-Chênevert, MD, BEng, is a diagnostic and interventional radiologist at CISSS Lanaudière and clinical professor at Laval University. He has previously served as chief of the medical imaging department. As a Kaggle competition master, he has successfully participated in many machine learning competitions. He is an early member of the Canadian Association of Radiologists (CAR) Artificial Intelligence (AI) Standing Committee. His current research interests include deep learning, computer vision, object detection, self-supervised learning, model generalizability, and public medical imaging datasets.