Laparoscopic video dataset for surgical action triplet recognition
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Updated
Feb 8, 2023 - Python
Laparoscopic video dataset for surgical action triplet recognition
This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.
Codes to process and train LIMUC dataset
EndoCV2020: Endoscopic Artefact Detection Challenge (EAD2020) - Implementation of the proposed framework
GitHub repository for Medico automatic polyp segmentation challenge
[MIA'21] Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images
A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.
GitHub for Endotect 2020 Challenge
Implementation of Deep Learning Techniques in endoscopic images using Deep Learning
This repository hosts the script that was utilized for report the results of the conference article: “Assessing deep learning methods for the identification of kidney stones in endoscopic images”
Proposed a novel method for image quality enhancement using diffusion models
This repository hosts the script that was utilized for report the results of the conference article: “Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning”
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