Work

Quantitative Analysis of Distinct Colon Crypt Branching Modes Using Interpretable Machine Learning

Year: 2025

Type: article

Source: Inflammatory Bowel Diseases

DOI: 10.1093/ibd/izaf230

Authors: Daniel Firmbach, Corinna Lang-Schwarz, Carlos A Rubio, Arndt Hartmann, Michael Vieth, Nic Reitsam, Bianca Grosser, Markus Eckstein, Christian Matek

Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsklinikum Erlangen, Comprehensive Cancer Center Erlangen, Bayreuth Medical Center, Karolinska University Hospital, Karolinska Institutet, University of Augsburg, Technical University of Munich

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Friedrich-Alexander-Universität Erlangen-Nürnberg

OpenAlex ID: W4415668038

FWCI: 1.632

Cites: 24

Cited by: 4

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