EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
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Updated
Jun 21, 2022 - Python
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
Helping doctors prevent gastrointestinal cancers.
NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]
Video-capsule endoscopy (VCE) is a relatively recent healthcare technology in Colombia. In this case series we describe the findings of VCEs performed between Sep/2019-Jan/2023 in a gastroenterology unit.
Inofficial dataset abstraction KvasirCapsule dataset
Bringing Neural Cellular Automata to Capsule Endoscopes
A curated collection of gastrointestinal endoscopy datasets for AI research, covering colonoscopy, polyp detection, segmentation, classification, capsule endoscopy, surgical endoscopy, medical VQA, and multimodal learning.
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