Work

Proof-of-concept Use of Machine Learning to Predict Tumor Recurrence of Early-stage Hepatocellular Carcinoma Before Therapy Using Baseline Magnetic Resonance Imaging

Year: 2020

Type: article

Study design: Observational Study

Source: Transplantation

DOI: 10.1097/01.tp.0000698472.65040.1e

Authors: Ramesh Batra, Ahmet Kuecuekkaya, Tal Zeevi, Rajiv Raju, Nathan Chai, Stefan Haider, Mohamed Elbanan, Alexandra Petukhova, , MingDe Lin, John Onofrey, Michal Nowak, Kirsten Cooper, Elizabeth Thomas, Bernhard Gebauer, Lawrence Staib, Julius Chapiro

Institutions: Yale University, Bridgeport Hospital, Yale New Haven Health System, Berlin Institute of Health at Charité - Universitätsmedizin Berlin

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: closed

OpenAlex ID: W3082301711

FWCI: 0.112

Cites:

Cited by: 1

Related to: 10