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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.
A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.
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”
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”