InvUnet:Inverse the Unet for Nuclear Segmentation in H&E Stained Images

Nuclear segmentation is the starting point for most cancer pathological analysis. Recently,A series of Unet-like deep neural networks have achieved good result in this task. These models are variants of encoder-decoder architecture and can be traced from FCN, which is designed for semantic segmentat...

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Bibliographic Details

Published in:	International Conference on Information Science and Technology pp. 251 - 256
Main Authors:	Zhang, Lifeng, Li, Bin
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2020
Subjects:	CNN H&E stained images instance segmentation nuclear segmentation
ISSN:	2573-3311
Online Access:	Get full text
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