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.
Files
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 RicercaItalyGrant ID: Dipartimenti di Eccellenza 2023-2027 (l. 232/2016, art. 1, commi 314 - 337)
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 |

