A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection

A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection

Breast cancer is a prevalent and life-threatening disease that requires effective detection and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine learning (ML) techniques have emerged as powerful tools in breast cancer detection, offering benefits such as improved accurac...

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Bibliographic Details
Main Authors: Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, Partho Ghose
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Breast cancer
breast histopathology image
deep learning
machine learning
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10215386/

Internet

https://ieeexplore.ieee.org/document/10215386/

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