Breast cancer mitotic cell detection using cascade convolutional neural network with U-Net

Breast cancer mitotic cell detection using cascade convolutional neural network with U-Net

The number of mitotic tumor cells detected in each slide is one of the key indicators of breast cancer prognosis. However, accurate mitotic cell counts are still a difficult problem for pathologists and related experts. Traditional methods use manual design algorithms to extract features of mitotic...

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Bibliographic Details
Main Authors: Xi Lu, Zejun You, Miaomiao Sun, Jing Wu, Zhihong Zhang
Format: Article
Language:English
Published: AIMS Press 2021-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
mitosis automatic detection
breast cancer
deep learning
cascade detection
semantic segmentation
binary classification
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021036?viewType=HTML

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http://www.aimspress.com/article/doi/10.3934/mbe.2021036?viewType=HTML

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