Work

Machine Learning in Neuro-Oncology: Can Data Analysis From 5346 Patients Change Decision-Making Paradigms?

Year: 2019

Type: review

Study design: Systematic Review

Source: World Neurosurgery

DOI: 10.1016/j.wneu.2019.01.046

Authors: Christopher A. Sarkiss, Isabelle M. Germano

Institutions: Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York University

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: W2914646338

FWCI: 0.973

Cites: 37

Cited by: 41

Related to: 10