Work

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-32251-9_64

Authors: Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan

Institution: University of Pennsylvania

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

Funders: National Institutes of Health, National Institute on Aging, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: G247489268, G3415959687, G4464169112, Biomedical Image Computing and Informatics Cluster, G856368605

OpenAlex ID: W2979492453

FWCI: 1.587

Cites: 24

Cited by: 5

Related to: 10