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Grant: Collaborative Research and Training Experience

The University of British Columbia

$150,000.00

MUlti-Scale multi-modal Image Computing for health (MUSIC)

EF 2023-24

Résumé
cellular imaging; computational pathology; computer vision; disease mechanisms; machine learning; medical imaging; molecular imaging; omics
Programme
Collaborative Research and Training Experience
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
575211-2023
Name nom
Bashashati, Ali A
Department département
Pathology and Lab Medicine
Organization id
2
Institution établissement
The University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
150000
Program id
CREAT
Program name en
Collaborative Research and Training Experience
Program name fr
Programme de formation orientée vers la nouveauté, la collaboration et l'expérience en recherche
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
1078
Committee name en
CREATE Program
Committee name fr
Programme FONCER
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1900
Research subject group en
Biomedical engineering
Research subject group fr
Biomedical engineering
Research subject en
Génie biomédical
Research subject fr
Génie biomédical
Application title
MUlti-Scale multi-modal Image Computing for health (MUSIC)
Keyword
cellular imaging; computational pathology; computer vision; disease mechanisms; machine learning; medical imaging; molecular imaging; omics
Application summary
cellular imaging; computational pathology; computer vision; disease mechanisms; machine learning; medical imaging; molecular imaging; omics