Dataset for "Automated Detection and Diameter Estimation for Mouse Mesenteric Artery using Semantic Segmentation"

Published: 28 October 2020| Version 1 | DOI: 10.17632/6swz3x26y3.1
Contributors:
Akinori Higaki,
Ahmad U.M. Mahmoud,
Pierre Paradis,
Ernesto Schiffrin

Description

Minimum dataset required to reproduce the results in our manuscript entitled "Automated Detection and Diameter Estimation for Mouse Mesenteric Artery using Semantic Segmentation". Not that the manuscript has not been peer-reviewed yet. Web application is available from: https://lda-amma.herokuapp.com

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Institutions

Lady Davis Institute for Medical Research

Categories

Machine Learning, Automated Segmentation, Mesenteric Artery

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