article Open AccessTop 1% cited
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Nature Medicine · 2019 · Vol. 25(8) · pp. 1301–1309
Gabriele Campanella✉(Memorial Sloan Kettering Cancer Center)Matthew G. Hanna(Memorial Sloan Kettering Cancer Center)Luke Geneslaw(Memorial Sloan Kettering Cancer Center)Allen P. Miraflor(Memorial Sloan Kettering Cancer Center)Vitor Werneck Krauss Silva(Memorial Sloan Kettering Cancer Center)Klaus J. Busam(Memorial Sloan Kettering Cancer Center)Edi Brogi(Memorial Sloan Kettering Cancer Center)Victor E. Reuter(Memorial Sloan Kettering Cancer Center)David S. Klimstra(Memorial Sloan Kettering Cancer Center)Thomas J. Fuchs(Memorial Sloan Kettering Cancer Center)
AI in cancer detectionDigital Imaging for Blood DiseasesCell Image Analysis TechniquesSoftware deploymentComputer scienceDeep learningArtificial intelligenceMedical diagnosisClinical PracticeProstate cancerScale (ratio)Machine learningPathology
MeSH terms
Deep LearningBreast NeoplasmsCarcinoma, Basal CellBasal Cell CarcinomaFemaleHumansMaleProstatic NeoplasmsDecision Support Systems, ClinicalNeoplasm Grading
Funding
- National Cancer Institute
Citations
2,461
FWCI
144.85
field-weighted impact
References
47
Percentile
100%
vs. same field & year
Citations per year
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