ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images

Early detection of breast cancer is an essential procedure to reduce the mortality rate among women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called ETECADx is proposed by fusing the benefits of both ensemble transfer learning of the convolutional neural networks as wel...

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Detalles Bibliográficos
Autores principales: Al-Hejri, Aymen M., Al-Tam, Riyadh M., Fazea, Muneer, Sable, Archana Harsing, Lee, Soojeong, 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/PMC9818801/
https://www.ncbi.nlm.nih.gov/pubmed/36611382
http://dx.doi.org/10.3390/diagnostics13010089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818801/
https://www.ncbi.nlm.nih.gov/pubmed/36611382
http://dx.doi.org/10.3390/diagnostics13010089

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