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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Detalles Bibliográficos
Autores principales: Al-Tam, Riyadh M., Al-Hejri, Aymen M., Narangale, Sachin M., Samee, Nagwan Abdel, Mahmoud, Noha F., Al-masni, Mohammed A., Al-antari, Mugahed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687367/
https://www.ncbi.nlm.nih.gov/pubmed/36428538
http://dx.doi.org/10.3390/biomedicines10112971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687367/
https://www.ncbi.nlm.nih.gov/pubmed/36428538
http://dx.doi.org/10.3390/biomedicines10112971

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