DSpace CRIS

DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)

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Deep-Learning and HPC to Boost Biomedical Applications for Health

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Informations

Primary Data

Project title

Deep-Learning and HPC to Boost Biomedical Applications for Health

Grants

Grant number

825111

Publications
(All)

Author

Subject

Date issued

2 2022

Type

1 Journal Article

Fulltext

1 With Fulltext

Refined By:

Author: Pettersson, Andreas

Results 1-2 of 2 (Search time: 0.0 seconds).

	Issue Date	Title	Author(s)
1	7-Aug-2022	AI Support for Accelerating Histopathological Slide Examinations of Prostate Cancer in Clinical Studies	Del Rio, Mauro ; Lianas, Luca ; Aspegren, Oskar ; Busonera, Giovanni ; Versaci, Francesco ; Zelic, Renata ; Vincent, Per H ; Leo, Simone ; Pettersson, Andreas ; Akre, Olof ; Pireddu, Luca
2	18-Jan-2022	Prognostic Utility of the Gleason Grading System Revisions and Histopathological Factors Beyond Gleason Grade	Zelic, Renata ; giunchi, francesca ; Fridfeldt, Jonna ; Carlsson, Jessica ; Davidsson, Sabina ; Lianas, Luca ; Mascia, Cecilia ; ZUGNA, DANIELA ; Molinaro, Luca ; Vincent, Per Henrik ; Zanetti, Gianluigi ; Andrén, Ove ; richiardi, lorenzo ; Akre, Olof ; Fiorentino, Michelangelo ; Pettersson, Andreas