Automated quality assessment of large digitised histology cohorts by artificial intelligence

Automated quality assessment of large digitised histology cohorts by artificial intelligence

Abstract Research using whole slide images (WSIs) of histopathology slides has increased exponentially over recent years. Glass slides from retrospective cohorts, some with patient follow-up data are digitised for the development and validation of artificial intelligence (AI) tools. Such resources,...

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Bibliographic Details
Main Authors: Maryam Haghighat, Lisa Browning, Korsuk Sirinukunwattana, Stefano Malacrino, Nasullah Khalid Alham, Richard Colling, Ying Cui, Emad Rakha, Freddie C. Hamdy, Clare Verrill, Jens Rittscher
Format: Article
Language:English
Published: Nature Portfolio 2022-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-08351-5

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https://doi.org/10.1038/s41598-022-08351-5

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