Effective Breast Cancer Classification Using Deep MLP, Feature-Fused Autoencoder and Weight-Tuned Decision Tree

Effective Breast Cancer Classification Using Deep MLP, Feature-Fused Autoencoder and Weight-Tuned Decision Tree

Breast cancer remains a leading cause of death among women worldwide, underscoring the urgent need for practical diagnostic tools. This paper presents an advanced machine learning algorithm designed to improve classification accuracy in breast cancer diagnosis. The system integrates a deep multi-lay...

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Bibliographic Details
Main Authors: Nagham Rasheed Hameed Alsaedi, Mehmet Fatih Akay
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
breast cancer
machine learning
deep MLP
feature-fused autoencoder
weight-tuned decision tree
Online Access:https://www.mdpi.com/2076-3417/15/13/7213
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