DigiPatICS: Projecte d'optimització del diagnòstic anatomopatòleg en xarxa als hospitals de l'Institut Català de la Salut a través de la digitalització i eines d'intel·ligència Artificial
Type | Start | End |
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Other | Oct 2020 | Dec 2024 |
Responsible | URL |
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Ferran Marqués | DigiPatICS notice page @ICS |
Reference
Institut Català de la Salut (ICS). Palex Medical. Programa Operatiu FEDER de Catalunya 2014-2020.
Description
This project is the result of a research collaboration with the Institut Català de la Salut (ICS), in the context of the project DigiPatICS, within the Operative Program FEDER of Catalonia where UPC is a LTP of Palex Medical.
The DigiPatICS project aims at the increase in patient safety and quality of care, improving the diagnosis of histopathological samples and the efficiency of the processes of the ICS Pathological Anatomy services, through Digital Pathology (DP) and artificial intelligence tools (AI). It is transversal, and will have an impact on the care of patients cared for by all medical and surgical specialties.
The project deploys its tools on 7 Hospitals of ICS: HU Bellvitge, HU Doctor Trueta, H. Verge de la Cinta, HU Germans Trias i Pujol, HU Joan XXIII, HU Arnau de Vilanova, and HU Vall d'Hebron. It involves over 170 pathologists, 17 scanners connected to 13 macropath stations, 106 scanned Whole Slide Images (WSI) per year and possibly one of the largests DP networks in the world.
Fig.1 - DigiPatICS scanners installed in ICS Hospitals. Source: ICS news 03/2021
Fig.2 - A pathologist in his office with a resident diagnosing with 2 LG 32HL512D 8MP diagnostic monitors. Source: Temprana-Salvador et al (2022)
GPI contributes to this project with the development of AItools and platforms in the field of medical imaging with its extensive experience in image analysis and in the development of algorithms of AI.
Publications
Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE; 2024. (838.72 KB) | .
Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue. Heliyon. 2024 ;10(7). (4.05 MB) | .
Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023 ;10(3). (13.78 MB) | .
DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022 ;12(4). |
Collaborators
Ferran Marqués | Professor | ferran.marques@upc.edu |
Josep R. Casas | Associate Professor | josep.ramon.casas@upc.edu |
Philippe Salembier | Professor | philippe.salembier@upc.edu |
Montse Pardàs | Professor | montse.pardas@upc.edu |
Veronica Vilaplana | Associate Professor | veronica.vilaplana@upc.edu |