Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted

Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted

Breast cancer is the second most common type of cancer among women, and it can threaten women’s lives if it is not diagnosed early. There are many methods for detecting breast cancer, but they cannot distinguish between benign and malignant tumors. Therefore, a biopsy taken from the patient’s abnorm...

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Bibliographic Details
Main Authors: Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Diagnostics
Subjects:
deep learning
ANN
fusion features
handcrafted
PCA
breast cancer
Online Access:https://www.mdpi.com/2075-4418/13/10/1753

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