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

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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Bibliographic Details
Main Authors: Dibson D. Gondim, Khaleel I. Al-Obaidy, Muhammad T. Idrees, John N. Eble, Liang Cheng
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of Pathology Informatics
Subjects:
Renal cell carcinoma
Renal oncocytoma
Metanephric adenoma
Histopathology
Artificial intelligence
Digital pathology
Online Access:http://www.sciencedirect.com/science/article/pii/S215335392300113X

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http://www.sciencedirect.com/science/article/pii/S215335392300113X

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