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
Funding
Ministero dell'Università e della Ricerca
Dipartimenti di Eccellenza 2023-2027 (l. 232/2016, art. 1, commi 314 - 337)
Ministero della Salute
PNRR-MR1-2022-12375735
Ministero della Salute
GR-2021-12374235 PROFOUND
Additional Metadata for University of Milano - Bicocca
Language | English |
Date the data was collected | 2023-11-01T00:00:00.000Z |
ERC Keywords | LS7_1 Imaging for medical diagnosis |
SSD Classification | MED/08 - ANATOMIA PATOLOGICA |
Geolocation | Italy |