Build for an ImageJ plugin called VersiLab_Plugin. Real-time acquisition and image processing for optical endo-microscopes
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Updated
Sep 28, 2017 - Java
Build for an ImageJ plugin called VersiLab_Plugin. Real-time acquisition and image processing for optical endo-microscopes
1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
Live USB endoscope camera monitor on a Raspberry Pi with C-Berry28 display using OpenCV
Prototype improvement to robotic surgery by using muscle activation
Homologous point groups (point tracks) determination usable as the input of Structure from Motion (SfM).
GitHub for Endotect 2020 Challenge
3rd International Endoscopy Computer Vision Challenge and Workshop (EndoCV2021)
Semi-supervised teacher-student framework
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
Generates training data for graph extraction.
PyTorch implementation of EfficientNet for response prediction
Extraction of graphs from skeletonised images.
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
Official repo of "EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)"
Endoscopic and Pathological data extraction for various endo-pathological data extraction
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.
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