Work

Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning

Year: 2022

Type: article

Source: Endoscopy

DOI: 10.1055/a-1971-1274

Authors: Dominik Schulz, Markus Heilmaier, Veit Phillip, Matthias Treiber, Ulrich Mayr, Tobias Lahmer, Julius Mueller, Ihsan Ekin Demir, Helmut Friess, Maximilian Reichert, Roland M. Schmid, Mohamed Abdelhafez

Institutions: TUM Klinikum, Technical University of Munich, University Medical Center Freiburg

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

Funders: Deutsche Forschungsgemeinschaft, Deutsche Krebshilfe

Awards: G1997835508, G2141523131, SFB 1321: Modellierung und Targeting des Pankreaskarzinoms

OpenAlex ID: W4307977696

FWCI: 1.807

Cites: 34

Cited by: 32

Related to: 10