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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