Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images

Background: Breast cancer is one of the most causes of death in women. Early diagnosis and detection of Invasive Ductal Carcinoma (IDC) is an important key for the treatment of IDC. Computer-aided approaches have great potential to improve diagnosis accuracy. In this paper, we proposed a deep learni...

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Detalles Bibliográficos
Autores principales: Abdolahi, Mohammad, Salehi, Mohammad, Shokatian, Iman, Reiazi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787039/
https://www.ncbi.nlm.nih.gov/pubmed/33437736
http://dx.doi.org/10.34171/mjiri.34.140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787039/
https://www.ncbi.nlm.nih.gov/pubmed/33437736
http://dx.doi.org/10.34171/mjiri.34.140

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