EVICAN—a balanced dataset for algorithm development in cell and nucleus segmentation

Abstract Motivation Deep learning use for quantitative image analysis is exponentially increasing. However, training accurate, widely deployable deep learning algorithms requires a plethora of annotated (ground truth) data. Image collections must contain not only thousands of images to provide suffi...

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Bibliographic Details

Published in:	Bioinformatics Vol. 36; no. 12; pp. 3863 - 3870
Main Authors:	Schwendy, Mischa, Unger, Ronald E, Parekh, Sapun H
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 01.06.2020
Subjects:	Algorithms Cell Nucleus Image Processing, Computer-Assisted Microscopy Original Papers
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online Access:	Get full text
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