A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms

Breast cancer, which attacks the glandular epithelium of the breast, is the second most common kind of cancer in women after lung cancer, and it affects a significant number of people worldwide. Based on the advantages of Residual Convolutional Network and the Transformer Encoder with Multiple Layer...

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Bibliographic Details
Main Authors: Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sachin M. Narangale, Nagwan Abdel Samee, Noha F. Mahmoud, Mohammed A. Al-masni, Mugahed A. Al-antari
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Biomedicines
Subjects:
Online Access:https://www.mdpi.com/2227-9059/10/11/2971