Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT

Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT

Abstract Breast cancer is a leading cause of mortality among women worldwide, and early detection via mammography is critical for improving patient outcomes. In this study, we conduct a comprehensive comparative analysis of 15 state-of-the-art deep learning models including both general-purpose (e.g...

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Bibliographic Details
Main Authors: Shubhi Sharma, Yeshwant Singh, Tanupriya Choudhury
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
Breast cancer detection
Mammography classification
Deep learning
Convolutional neural Networks (CNN)
Vision transformer (ViT)
Computer-aided diagnosis (CAD) systems
Online Access:https://doi.org/10.1007/s44163-025-00426-2
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https://doi.org/10.1007/s44163-025-00426-2

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