Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques

Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques

Breast cancer (BC) is the most common cancer among women, making it essential to have an accurate and dependable system for diagnosing benign or malignant tumors. It is essential to detect this cancer early in order to inform subsequent treatments. Currently, fine needle aspiration (FNA) cytology an...

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Bibliographic Details
Main Authors: Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, Adel Sulaiman, Hani Alshahrani, Ahmad Taher Azar, Asadullah Shaikh
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Life
Subjects:
breast cancer
Wisconsin Diagnostic Breast Cancer
machine learning
ensemble learning
feature selection
detection
Online Access:https://www.mdpi.com/2075-1729/13/10/2093

Internet

https://www.mdpi.com/2075-1729/13/10/2093

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