Work

Unsupervised Machine Learning of Radiomic Features for Predicting Treatment Response and Survival of Early-Stage Nonsmall Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy

Year: 2017

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2017.06.092

Authors: H. Li, M. Galperin-Aizenberg, D.A. Pryma, C.B. Simone, Y. Fan

Institutions: University of Pennsylvania, University of Maryland Medical Center

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: bronze

OpenAlex ID: W2756952793

FWCI: 0.421

Cites:

Cited by: 5

Related to: 10