Advancing breast cancer detection in ultrasound images using a novel hybrid ensemble deep learning model
Publication Type
Original research
Authors

This study presents a novel hybrid ensemble deep learning model for breast cancer detection and classification using ultrasound images. The proposed framework integrates image enhancement, deep feature extraction, and machine learning approaches to improve diagnostic accuracy and develop an effective computer-aided diagnosis system for early breast cancer detection and differentiation between benign and malignant cases.

 

Journal
Title
Advancing breast cancer detection in ultrasound images using a novel hybrid ensemble deep learning model
Publisher
Elsevier
Publisher Country
Netherlands
Indexing
Scopus
Impact Factor
None
Publication Type
Online only
Volume
12
Year
2025
Pages
Article 100149