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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Vydané v:	Bioinformatics Ročník 36; číslo 12; s. 3863 - 3870
Hlavní autori:	Schwendy, Mischa, Unger, Ronald E, Parekh, Sapun H
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 01.06.2020
Predmet:	Algorithms Cell Nucleus Image Processing, Computer-Assisted Microscopy Original Papers
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
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