An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network

An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network

Cell (nuclei) segmentation is the basic and key step of pathological image analysis. However, robust and accurate cell (nuclei) segmentation is a difficult problem due to the enormous variability of staining, cell sizes, morphologies and cell adhesion or overlapping. In this paper, we extend U-Net w...

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Bibliographic Details
Main Authors: Xipeng Pan, Lingqiao Li, Dengxian Yang, Yubei He, Zhenbing Liu, Huihua Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cell (nuclei) segmentation
pathological image
deep semantic network
atrous convolution
encoder and decoder
Online Access:https://ieeexplore.ieee.org/document/8794571/

Internet

https://ieeexplore.ieee.org/document/8794571/

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