[HTML][HTML] A systematic review of generalization research in medical image classification
S Matta, M Lamard, P Zhang, A Le Guilcher… - Computers in biology …, 2024 - Elsevier
Abstract Numerous Deep Learning (DL) classification models have been developed for a
large spectrum of medical image analysis applications, which promises to reshape various …
large spectrum of medical image analysis applications, which promises to reshape various …
A Systematic Review of Generalization Research in Medical Image Classification
S Matta, M Lamard, P Zhang, AL Guilcher… - arxiv preprint arxiv …, 2024 - arxiv.org
Numerous Deep Learning (DL) classification models have been developed for a large
spectrum of medical image analysis applications, which promises to reshape various facets …
spectrum of medical image analysis applications, which promises to reshape various facets …
Multitask learning in minimally invasive surgical vision: A review
Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced
recovery time and risk of patient injury. However, MIS poses additional complexity and …
recovery time and risk of patient injury. However, MIS poses additional complexity and …
Artificial intelligence to understand robotic surgery scenes
L Seenivasan, H Ren - Handbook of Robotic Surgery, 2025 - Elsevier
Abstract Robot-Assisted Minimally Invasive Surgery (RAMIS) systems typically consist of a
vision arm (endoscopic camera) to provide a high-definition view of the surgical site and …
vision arm (endoscopic camera) to provide a high-definition view of the surgical site and …
Generating Automatic Surgical Captions Using a Contrastive Language-Image Pre-Training Model for Nephrectomy Surgery Images
Surgical reporting plays an important role in providing surgical feedback and medical
training, however, it remains a complex task that requires clinical expertise. It also plays an …
training, however, it remains a complex task that requires clinical expertise. It also plays an …