Prototype improvement to robotic surgery by using muscle activation
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Updated
Jul 3, 2020 - C++
Prototype improvement to robotic surgery by using muscle activation
PyTorch implementation of EfficientNet for response prediction
Build for an ImageJ plugin called VersiLab_Plugin. Real-time acquisition and image processing for optical endo-microscopes
GitHub for Endotect 2020 Challenge
Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.
3rd International Endoscopy Computer Vision Challenge and Workshop (EndoCV2021)
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.
Generates training data for graph extraction.
This repository contains the algorithms that have already been developed on the public available CE-NBI Data Set of larynx (https://zenodo.org/record/6674034#.Yym-H3ZBw2w).
Endoscopic and Pathological data extraction for various endo-pathological data extraction
Official repo of "EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)"
Homologous point groups (point tracks) determination usable as the input of Structure from Motion (SfM).
Extraction of graphs from skeletonised images.
Semi-supervised teacher-student framework
EndoCheck is a web application that allows doctors to automatically process endoscopic images or videos of patients to screen for anomalies.
Live USB endoscope camera monitor on a Raspberry Pi with C-Berry28 display using OpenCV
Python packaging for image processing of fibre bundle images, including core removal, mosaicing and super-resolution.
A PyTorch tool kit for estimating the circular content area in endoscopic footage.
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