Automated Training of Deep Convolutional Neural Networks for Cell Segmentation

Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show that DCNNs trained on ground truth created automati...

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Bibliographic Details

Published in:	Scientific reports Vol. 7; no. 1; pp. 7860 - 7
Main Authors:	Sadanandan, Sajith Kecheril, Ranefall, Petter, Le Guyader, Sylvie, Wählby, Carolina
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 10.08.2017 Nature Publishing Group Nature Portfolio
Subjects:	14 14/63 631/114/1564 631/80/2373 Computerized Image Processing Datoriserad bildbehandling Humanities and Social Sciences Image processing multidisciplinary Neural networks Science Science (multidisciplinary) Segmentation Training
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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