Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
GCGabriele CampanellaMGMatthew G. HannaLGLuke GeneslawAPAllen P. MiraflorVWVitor Werneck Krauss Silva
Memorial Sloan Kettering Cancer Center · Cornell University
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
2,566
total citations
- FWCI
- 145.37
- Percentile
- 100%
- References
- 47
Citations per year
Authors
10- GCGabriele CampanellaCorresponding
Memorial Sloan Kettering Cancer Center, Cornell University
- MGMatthew G. Hanna
Memorial Sloan Kettering Cancer Center
- LGLuke Geneslaw
Memorial Sloan Kettering Cancer Center
- APAllen P. Miraflor
Memorial Sloan Kettering Cancer Center
- VWVitor Werneck Krauss Silva
Memorial Sloan Kettering Cancer Center
Topics & keywords
Topics
Keywords
- Software deployment
- Computer science
- Deep learning
- Artificial intelligence
- Medical diagnosis
- Clinical Practice
- Prostate cancer
- Scale (ratio)
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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