A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound

B VanBerlo, J Hoey, A Wong - BMC Medical Imaging, 2024 - Springer
Self-supervised pretraining has been observed to be effective at improving feature
representations for transfer learning, leveraging large amounts of unlabelled data. This …

[HTML][HTML] Learning anatomically consistent embedding for chest radiography

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 …

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision

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 …

Asa: Learning anatomical consistency, sub-volume spatial relationships and fine-grained appearance for ct images

J Pang, DA Ma, Z Zhou, MB Gotway, J Liang - International Conference on …, 2024 - Springer
To achieve superior performance, deep learning relies on copiousness, high-quality,
annotated data, but annotating medical images is tedious, laborious, and time-consuming …

A survey of the impact of self-supervised pretraining for diagnostic tasks with radiological images

B VanBerlo, J Hoey, A Wong - arXiv preprint arXiv:2309.02555, 2023 - arxiv.org
Self-supervised pretraining has been observed to be effective at improving feature
representations for transfer learning, leveraging large amounts of unlabelled data. This …

LT-ViT: A Vision Transformer for multi-label Chest X-ray classification

U Marikkar, S Atito, M Awais… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
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) …