Work

Diagnostic performance of a deep learning-based tool for the detection and staging of rectal cancers on endoscopic ultrasound examinations: a pilot study

Year: 2026

Type: article

Source: Endoscopy

DOI: 10.1055/s-0046-1821454

Authors: A Montale, M Valvano, A Ghezzi, N Pavini, M Magliocco, A Fantazzini, M Rutigliani, M Oppezzi, G Stefanelli, M C Campanale, L Molini, F Paparo

Institutions: Ente Ospedaliero Ospedali Galliera, University of Genoa, Camelot Biomedical Systems (Italy)

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

OpenAlex ID: W7163675813

FWCI:

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