Optimization of Deep Learning Network Parameters Using Uniform Experimental Design for Breast Cancer Histopathological Image Classification

Optimization of Deep Learning Network Parameters Using Uniform Experimental Design for Breast Cancer Histopathological Image Classification

Breast cancer, a common cancer type, is a major health concern in women. Recently, researchers used convolutional neural networks (CNNs) for medical image analysis and demonstrated classification performance for breast cancer diagnosis from within histopathological image datasets. However, the param...

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Bibliographic Details
Main Authors: Cheng-Jian Lin, Shiou-Yun Jeng
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Diagnostics
Subjects:
breast cancer
histopathology
deep learning
convolutional neural network
uniform experimental design
Online Access:https://www.mdpi.com/2075-4418/10/9/662

Internet

https://www.mdpi.com/2075-4418/10/9/662

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