Abstract 2466: Pathomics prediction of thymic epithelial tumors histological subtypes: the AI-TET study
Year: 2025
Type: conference-abstract
Source: Cancer Research
Authors: Lodovica Zullo, Mathilde Bateson, Jose Carlos Benitez, Audrey Lupo, Damien Sizaret, Alvaro Lopez-Gutierrez, Daniela Miliziano, Kathryn Schutte, Juan David Florez-Arango, Pascale Missy, Vincent Thomas De Montpreville, Mercier Olaf, Jordi Remon, David Planchard, Nicolas Girard, Thierry Molina, Benjamin Besse
Institutions: Institut Gustave Roussy, Andalusian Centre for Nanomedicine and Biotechnology, Instituto de Investigación Biomédica de Málaga, Hôpital Cochin, Assistance Publique – Hôpitaux de Paris, Centre Hospitalier Universitaire de Tours, Intergroupe Francophone de Cancérologie Thoracique, Hôpital Marie Lannelongue, Institut Curie, Hôpital Necker-Enfants Malades, Institut Necker Enfants Malades
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4409632596