# Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/clinical-grade-computational-pathology-using-weakly-supervised-deep-learning-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gabriele Campanella,Matthew G. Hanna,Luke Geneslaw,Allen P. Miraflor,Vitor Werneck Krauss Silva,Klaus J. Busam,Edi Brogi,Victor E. Reuter,David S. Klimstra,Thomas J. Fuchs |
| Citations | 2,717 |
| DOI | 10.1038/s41591-019-0508-1 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/7418463 |
| OpenAlex ID | https://openalex.org/W2956228567 |
| PMID | 31308507 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Edi Brogi](https://scholariq.org/researchers/edi-brogi/)

## Paper journal

- [Nature Medicine](https://scholariq.org/journals/nature-medicine/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.