robot-surgery-segmentation and angiodysplasia-segmentation

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 20/25
Stars: 639
Forks: 213
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 80
Forks: 29
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Archived Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About robot-surgery-segmentation

ternaus/robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

About angiodysplasia-segmentation

ternaus/angiodysplasia-segmentation

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

This project helps gastroenterologists identify and locate angiodysplasia lesions from Wireless Capsule Endoscopy (WCE) images. It takes raw WCE images as input and outputs a segmented image highlighting the lesions, along with their precise locations. This helps medical professionals quickly review the large number of images generated during an examination.

gastroenterology endoscopy medical-imaging disease-detection diagnosis-support

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