Machine Learning approaches for comprehensive analysis of population cancer registry data. Doctoral Program: Engineering and Information Technologies. (vídeo en anglès)

Doctoral thesis: Machine Learning approaches for comprehensive analysis of population cancer registry data, by Dídac Florensa Cazorla. Doctoral Program: Engineering and Information Technologies. Video part of the Doctoral School's scientific outreach project: Research at the service of society, coordinated by the UdL Doctoral School and the UdL Scientific Culture and Innovation Unit.

Publication Details

Journal
Repositori ObertUDL (University of Lleida)
Published
2025-01-01
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Machine Learning approaches for comprehensive analysis of population cancer registry data. Doctoral Program: Engineering and Information Technologies. (vídeo en anglès)

Repositori ObertUDL (University of Lleida)
AI in cancer detection
article

Machine Learning approaches for comprehensive analysis of population cancer registry data. Doctoral Program: Engineering and Information Technologies. (vídeo en anglès)

article en

Abstract

Doctoral thesis: Machine Learning approaches for comprehensive analysis of population cancer registry data, by Dídac Florensa Cazorla. Doctoral Program: Engineering and Information Technologies. Video part of the Doctoral School's scientific outreach project: Research at the service of society, coordinated by the UdL Doctoral School and the UdL Scientific Culture and Innovation Unit.

Repositori ObertUDL (University of Lleida)
Industry, innovation and infrastructure
Openalex Percentile: Top 72%
AI in cancer detection
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Machine Learning approaches for comprehensive analysis of population cancer registry data. Doctoral Program: Engineering and Information Technologies. (vídeo en anglès) · Repositori ObertUDL (University of Lleida) (2025) | TGRS Research Map | TGRS