Artificial intelligence-based multi-class histopathologic classification of kidney neoplasms

Artificial intelligence (AI)-based techniques are increasingly being explored as an emerging ancillary technique for improving accuracy and reproducibility of histopathological diagnosis. Renal cell carcinoma (RCC) is a malignancy responsible for 2% of cancer deaths worldwide. Given that RCC is a he...

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Autors principals:	Dibson D. Gondim, Khaleel I. Al-Obaidy, Muhammad T. Idrees, John N. Eble, Liang Cheng
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-01-01
Col·lecció:	Journal of Pathology Informatics
Matèries:	Renal cell carcinoma Renal oncocytoma Metanephric adenoma Histopathology Artificial intelligence Digital pathology
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S215335392300113X
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