Z Zhou, H Luo, J Pang, X Ding, M Gotway… - BMVC: proceedings of …, 2023 - ncbi.nlm.nih.gov
Self-supervised learning (SSL) approaches have recently shown substantial success in learning visual representations from unannotated images. Compared with photographic …
MRH Taher, MB Gotway… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep learning excels in learning multi-level feature spaces but they often lack explicit coding of …
To achieve superior performance, deep learning relies on copiousness, high-quality, annotated data, but annotating medical images is tedious, laborious, and time-consuming …
Self-supervised pretraining has been observed to be effective at improving feature representations for transfer learning, leveraging large amounts of unlabelled data. This …
Vision Transformers (ViTs) are widely adopted in medical imaging tasks, and some existing efforts have been directed towards vision-language training for Chest X-rays (CXRs) …