Work

Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data

Year: 2009

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-04271-3_102

Authors: Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Anant Madabhushi

Institutions: Rutgers, The State University of New Jersey, University of Pennsylvania, University of California, San Francisco

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

Funders: Wallace H. Coulter Foundation, National Cancer Institute

Awards: G1390776001, Detecting pre-cancerous lesions from high resolution prostate MRI

OpenAlex ID: W2115391897

FWCI: 9.522

Cites: 9

Cited by: 15

Related to: 10