Work

DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-67834-4_4

Authors: Andrew J. Schaumberg, S. Joseph Sirintrapun, Hikmat A. Al-Ahmadie, Peter J. Schüffler, Thomas J. Fuchs

Institutions: Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences

Awards: G5594834694, Genotype and Histological Phenotype Relationships in Cancer, with Automated Therapy Optimization., G9000190143, Cancer Center Support Grant, Tri-Institutional Training Program in Computational Biology and Medicine

OpenAlex ID: W2950232431

FWCI: 0.748

Cites: 29

Cited by: 11

Related to: 10