Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

Breast cancer is a significant factor in female mortality. An early cancer diagnosis leads to a reduction in the breast cancer death rate. With the help of a computer-aided diagnosis system, the efficiency increased, and the cost was reduced for the cancer diagnosis. Traditional breast cancer classi...

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Bibliographic Details
Main Authors: Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Laith Farhan, Jinglan Zhang, Ye Duan
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Electronics
Subjects:
breast cancer
convolutional neural network
transfer learning
classification
Online Access:https://www.mdpi.com/2079-9292/9/3/445

Internet

https://www.mdpi.com/2079-9292/9/3/445

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