Benchmarking digital displays (monitors) for histological diagnoses: the Nephropathology use case

Published: 16 February 2024| Version 3 | DOI: 10.17632/pnnbb847r8.3
Contributors:
,

Description

Granular data from the assessment of non-inferiority of different monitors/scanners combination for the evaluation of whole slide images (WSI) for the primary diagnosis of renal diseases on histology following the College of American Pathologists (CAP) guidelines.

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Institutions

  • University of Milano-Bicocca

Departments

School of Medicine and Surgery

Categories

Nephrology, Pathology, Renal Pathology, Informatics, Digital Pathology

Funders

  • Ministero dell'Università e della Ricerca
    Italy
    Grant ID: Dipartimenti di Eccellenza 2023-2027 (l. 232/2016, art. 1, commi 314 - 337)
  • Ministero della Salute
    Italy
    Grant ID: PNRR-MR1-2022-12375735
  • Ministero della Salute
    Italy
    Grant ID: GR-2021-12374235 PROFOUND

Additional Metadata for University of Milano - Bicocca

LanguageEnglish
Date the data was collected2023-11-01T00:00:00.000Z
ERC KeywordsLS7_1 Imaging for medical diagnosis
SSD ClassificationMED/08 - ANATOMIA PATOLOGICA
GeolocationItaly

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