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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Shubhi Sharma, Yeshwant Singh, Tanupriya Choudhury
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Springer 2025-07-01
سلاسل:	Discover Artificial Intelligence
الموضوعات:	Breast cancer detection Mammography classification Deep learning Convolutional neural Networks (CNN) Vision transformer (ViT) Computer-aided diagnosis (CAD) systems
الوصول للمادة أونلاين:	https://doi.org/10.1007/s44163-025-00426-2
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!