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Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-59722-1_52

Authors: David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs

Institutions: Memorial Sloan Kettering Cancer Center, Cornell University, Weill Cornell Medicine

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: William K. Warren Foundation, Warren Alpert Foundation, Memorial Sloan-Kettering Cancer Center, National Institutes of Health, National Cancer Institute

OpenAlex ID: W3039915315

FWCI: 2.003

Cites: 20

Cited by: 37

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