Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study

German Federal Ministry of Health, Max-Eder-Programme of German Cancer Aid, German Federal Ministry of Education and Research, German Academic Exchange Service, and the EU.

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Publication Details

Journal
The Lancet Digital Health
Published
2025-08-01
DOI
https://doi.org/10.1016/j.landig.2025.100891
Citations
5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
6.80
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article

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study

Stefanie Brezina, Pia Hönscheid, Ellen L. Goode, Andrea Gsur et al.
5 citations
The Lancet Digital Health
Radiomics and Machine Learning in Medical Imaging
6.80
article

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study

Stefanie Brezina, Pia Hönscheid, Ellen L. Goode, Andrea Gsur, Amanda I. Phipps, Bruno Märkl, Lisa A. Boardman, Marko van Treeck, Tabitha A. Harrison, Nic G. Reitsam, Marco Gustav, Ulrike Peters, Asier Rabasco Meneghetti, Robert S. Steinfelder, Neil Murphy, Zunamys I. Carrero, Sebastian Foersch, Jakob Nikolas Kather, Marc J. Gunter, Chiara Maria Lavinia Loeffler, Amy J. French, Christian Sperling
article en
5 citations

Abstract

German Federal Ministry of Health, Max-Eder-Programme of German Cancer Aid, German Federal Ministry of Education and Research, German Academic Exchange Service, and the EU.

The Lancet Digital HealthVol. 7(8)
Mayo Clinic (US), University of Augsburg (DE), German Cancer Research Center (DE), Johannes Gutenberg University Mainz (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), Fred Hutch Cancer Center (US), Comprehensive Cancer Center Vienna (AT), University Medical Center of the Johannes Gutenberg University Mainz (DE), National Center for Tumor Diseases (DE), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US), University Hospital Carl Gustav Carus (DE), Centre international de recherche sur le cancer (FR), Medical University of Vienna (AT)
Good health and well-being
Openalex Percentile: Top 3%
Radiomics and Machine Learning in Medical Imaging
6.80
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