# Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-deep-convolutional-neural-networks-to-identify-and-classify-tumor/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Babak Ehteshami Bejnordi,Maeve Mullooly,Ruth M. Pfeiffer,Shaoqi Fan,Pamela M. Vacek,Donald L. Weaver,Sally D. Herschorn,Louise A. Brinton,Bram van Ginneken,Nico Karssemeijer,Andrew H. Beck,Gretchen L. Gierach,Jeroen van der Laak,Mark E. Sherman |
| Citations | 218 |
| DOI | 10.1038/s41379-018-0073-z |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.nature.com/articles/s41379-018-0073-z.pdf |
| OpenAlex ID | https://openalex.org/W2808210572 |
| PMID | 29899550 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Donald L. Weaver](https://scholariq.org/researchers/donald-l-weaver/)
- [Pamela M. Vacek](https://scholariq.org/researchers/pamela-m-vacek/)

## 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/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.