Work

Reliability of a computational platform as a surrogate for manually interpreted immunohistochemical markers in breast tumor tissue microarrays

Year: 2021

Type: article

Source: Cancer Epidemiology

DOI: 10.1016/j.canep.2021.101999

Authors: Michelle R. Roberts, Gabrielle M. Baker, Yujing J. Heng, Michael E. Pyle, Kristina Astone, Bernard A. Rosner, Laura C. Collins, A. Heather Eliassen, Rulla M. Tamimi

Institutions: Brigham and Women's Hospital, Harvard University, Beth Israel Deaconess Medical Center, 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: bronze

Funders: National Institutes of Health, National Cancer Institute

Awards: G1120188257, G2214254730, G294025628, Dietary and Hormonal Determinants of Cancer in Women, G4561983161, G885693336, Program for Training in Cancer Epidemiology

OpenAlex ID: W3192047004

FWCI: 0.618

Cites: 19

Cited by: 10

Related to: 10