Advancing breast cancer diagnosis: Integrating deep transfer learning and U-Net segmentation for precise classification and delineation of ultrasound images

Advancing breast cancer diagnosis: Integrating deep transfer learning and U-Net segmentation for precise classification and delineation of ultrasound images

Breast cancer remains one of the leading causes of mortality among women worldwide, highlighting the need for timely and accurate diagnostic strategies. This study investigates the integration of artificial intelligence (AI) techniques, specifically deep transfer learning for classification and U-Ne...

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Bibliographic Details
Main Authors: Divine Senanu Ametefe, Dah John, Abdulmalik Adozuka Aliu, George Dzorgbenya Ametefe, Aisha Hamid, Tumani Darboe
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Breast cancer diagnosis
Deep transfer learning
U-net segmentation
Medical image classification
Artificial intelligence in healthcare
Convolutional neural network (CNN)
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025011223
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http://www.sciencedirect.com/science/article/pii/S2590123025011223

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