ternaus/angiodysplasia-segmentation

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

45
/ 100
Emerging

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.

No commits in the last 6 months.

Use this if you need to automatically detect and localize angiodysplasia lesions in WCE images to assist in medical diagnosis and reduce manual review time.

Not ideal if you are looking for a general-purpose medical image analysis tool beyond angiodysplasia detection or if you require real-time processing during an endoscopic procedure.

gastroenterology endoscopy medical-imaging disease-detection diagnosis-support
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 20 / 25

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80

Forks

29

Language

Jupyter Notebook

License

MIT

Last pushed

May 13, 2019

Commits (30d)

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