Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework

Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework

Abstract Medical imaging sciences and diagnostic techniques for Breast Cancer (BC) imaging have advanced tremendously, particularly with the use of mammography images; however, radiologists may still misinterpret medical images of the breast, resulting in limitations and flaws in the screening proce...

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Bibliographic Details
Main Authors: Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Breast cancer (BC) prediction
Computer-aided design (CAD)
Pre-training
Mammogram colorization
Transfer learning (TL)
Machine learning (ML)
Online Access:https://doi.org/10.1038/s41598-025-10896-0
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https://doi.org/10.1038/s41598-025-10896-0

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