Topic: endoscopy Goto Github
Some thing interesting about endoscopy
Some thing interesting about endoscopy
endoscopy,Deformable visual odometry for stereo endoscopic videos
Organization: aimi-lab
endoscopy,Live USB endoscope camera monitor on a Raspberry Pi with C-Berry28 display using OpenCV
User: bananajoh
endoscopy,A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained activity.
Organization: camma-public
endoscopy,A PyTorch tool kit for estimating the circular content area in endoscopic footage.
User: charliebudd
endoscopy,Prototype improvement to robotic surgery by using muscle activation
User: darrentran33
endoscopy,GitHub repository for the Kvasir-instrument dataset
User: debeshjha
Home Page: https://datasets.simula.no/kvasir-instrument/
endoscopy,Semi-supervised teacher-student framework
User: henriklg
endoscopy,EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
Organization: hku-medai
endoscopy,Official repo of "EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)"
User: lighterswang
Home Page: https://lighterswang.github.io/EndoBoost_FPPD13/
endoscopy,Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
User: lppllppl920
endoscopy,Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
User: lppllppl920
endoscopy,Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
User: lppllppl920
endoscopy,EndoCheck is a web application that allows doctors to automatically process endoscopic images or videos of patients to screen for anomalies.
User: magus4450
endoscopy,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.
User: mdteheran
endoscopy,[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Organization: med-air
endoscopy,Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Organization: med-air
Home Page: https://med-air.github.io/EndoNeRF/
endoscopy,Python packaging for image processing of fibre bundle images, including core removal, mosaicing and super-resolution.
User: mikehugheskent
endoscopy,Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Organization: nadeemlab
endoscopy,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).
User: nazilaesmaeili
Home Page: https://github.com/NazilaEsmaeili/CE-NBI-Classification
endoscopy,Semantic Segmentation of Robotic Tools used in Endoscopic Surgeries
User: prathamlearnstocode
endoscopy,medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
User: richardobi
Home Page: https://medigan.readthedocs.io/en/latest/
endoscopy,PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)
Organization: roni-lab
Home Page: https://ppsnet.github.io/
endoscopy,Endoscopic and Pathological data extraction for various endo-pathological data extraction
Organization: ropensci
Home Page: https://docs.ropensci.org/EndoMineR
endoscopy,Generates training data for graph extraction.
User: salehahr
endoscopy,Extraction of graphs from skeletonised images.
User: salehahr
endoscopy,PyTorch implementation of EfficientNet for response prediction
User: selamgit
endoscopy,
User: sharib-vision
endoscopy,[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
User: shuweishao
endoscopy,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.
User: sujal100
endoscopy,Build for an ImageJ plugin called VersiLab_Plugin. Real-time acquisition and image processing for optical endo-microscopes
User: sweeneyian
Home Page: https://proteus.ac.uk/technology/mcwffm/
endoscopy,Homologous point groups (point tracks) determination usable as the input of Structure from Motion (SfM).
User: tanbinh93
endoscopy,1st place solution to EAD 2020 (segmentation track) (https://ead2020.grand-challenge.org/)
User: ubamba98
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