Deep learning-enabled multi-organ segmentation in whole-body mouse scans
Organ segmentation of whole-body mouse images is essential for quantitative analysis, but is tedious and error-prone. Here the authors develop a deep learning pipeline to segment major organs and the skeleton in volumetric whole-body scans in less than a second, and present probability maps and unce...
Main Authors: | Oliver Schoppe, Chenchen Pan, Javier Coronel, Hongcheng Mai, Zhouyi Rong, Mihail Ivilinov Todorov, Annemarie Müskes, Fernando Navarro, Hongwei Li, Ali Ertürk, Bjoern H. Menze |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-19449-7 |
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