3 papers
cs.CV2024
Polyp Segmentation Generalisability of Pretrained Backbones
Edward Sanderson, Bogdan J. Matuszewski
It has recently been demonstrated that pretraining backbones in a self-supervised manner generally provides better fine-tuned polyp segmentation performance, and that models with V…
cs.CV2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson, Bogdan J. Matuszewski
Solutions to vision tasks in gastrointestinal endoscopy (GIE) conventionally use image encoders pretrained in a supervised manner with ImageNet-1k as backbones. However, the use of…
cs.CV2023
SimCol3D -- 3D Reconstruction during Colonoscopy Challenge
Anita Rau, Sophia Bano, Yueming Jin +19
Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps…