Work

Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies

Year: 2017

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2017.10.034

Authors: Jean I. Garcia-Gathright, Nicholas J. Matiasz, Carlos Adame, Karthik V. Sarma, Lauren Sauer, Nova F. Smedley, Marshall L. Spiegel, Jennifer Strunck, Edward B. Garon, Ricky K. Taira, Denise R. Aberle, Alex A.T. Bui

Institution: University of California, Los Angeles

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, University of California, Los Angeles, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine

Awards: G1372278137, G241196917, G3062386909, G4761447359, Data Structuring and Visualization System for Neuro-oncology, Development of a Multimodal Deep Learning Model for the Generation of Cancer Probability Maps and Imaging Biomarkers for Prostate Cancer using Multiparametric MRI, G9000040081, G9000079289, G9000132606

OpenAlex ID: W2765684156

FWCI: 0.097

Cites: 63

Cited by: 1

Related to: 10