Work

Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation

Year: 2019

Type: article

Study design: Observational Study

Source: Abdominal Radiology

DOI: 10.1007/s00261-019-02117-w

Authors: Jennifer S. Golia Pernicka, Johan Gagniere, Jayasree Chakraborty, Rikiya Yamashita, Lorenzo Nardo, John M. Creasy, Iva Petkovska, Richard R. K. Do, David D. B. Bates, Viktoriya Paroder, Mithat Gonen, Martin R. Weiser, Amber L. Simpson, Marc J. Gollub

Institutions: Memorial Sloan Kettering Cancer Center, Inserm, Centre Hospitalier Universitaire de Clermont-Ferrand, University of California, Davis

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Memorial Sloan-Kettering Cancer Center, National Institutes of Health, National Cancer Institute

Awards: G4966224882, Cancer Center Support Grant

OpenAlex ID: W2956088859

FWCI: 8.854

Cites: 34

Cited by: 110

Related to: 10