Work

Region of interest identification and diagnostic agreement in breast pathology

Year: 2016

Type: article

Study design: Observational Study

Source: Modern Pathology

DOI: 10.1038/modpathol.2016.85

Authors: Dilip B Nagarkar, Ezgi Mercan, Donald L Weaver, Tad T Brunyé, Patricia A Carney, Mara H Rendi, Andrew H Beck, Paul D Frederick, Linda G Shapiro, Joann G Elmore

Institutions: University of Washington, University of Vermont, Tufts University, Oregon Health & Science University, Beth Israel Deaconess Medical Center, Harvard University

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: bronze

Funders: National Institutes of Health, National Cancer Institute

Awards: G1154246704, G483259171, Digital Pathology_Accuracy Viewing Behavior and Image Characterization, G7471135989, G9000105498, G9000149027, Improving Accuracy and Outcomes of Cancer Screening and Diagnosis

OpenAlex ID: W2408688145

FWCI: 1.645

Cites: 16

Cited by: 28

Related to: 10