An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images

An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images

Abstract Background Since nuclei segmentation in histopathology images can provide key information for identifying the presence or stage of a disease, the images need to be assessed carefully. However, color variation in histopathology images, and various structures of nuclei are two major obstacles...

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Bibliographic Details
Main Authors: Hwejin Jung, Bilal Lodhi, Jaewoo Kang
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Biomedical Engineering
Subjects:
Nuclei segmentation
Deep learning
Histopathology
Image analysis
Convolutional neural network
Online Access:http://link.springer.com/article/10.1186/s42490-019-0026-8

Internet

http://link.springer.com/article/10.1186/s42490-019-0026-8

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