GitHub / CAMMA-public / ConvLSTM-Surgical-Tool-Tracker
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CAMMA-public%2FConvLSTM-Surgical-Tool-Tracker
PURL: pkg:github/CAMMA-public/ConvLSTM-Surgical-Tool-Tracker
Stars: 37
Forks: 10
Open issues: 2
License: other
Language: Python
Size: 3.48 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: about 1 year ago
Pushed at: almost 5 years ago
Last synced at: about 1 year ago
Topics: analysis, convlstm, convolutional-neural-network, deep-learning, detection, endoscopic-images, localization, lstm, surgical-instrument, surgical-tools, surgical-video, temporal-convolutional-network, temporal-data, tracking, video-analysis, weakly-supervised-learning