# Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-to-distinguish-pancreatic-cancer-tissue-from-non-cancerous/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kao‐Lang Liu,Tinghui Wu,Po‐Ting Chen,Yu‐Hsiang Tsai,Holger R. Roth,Ming‐Shiang Wu,Wei‐Chih Liao,Weichung Wang |
| Citations | 215 |
| DOI | 10.1016/s2589-7500(20)30078-9 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.thelancet.com/article/S2589750020300789/pdf |
| OpenAlex ID | https://openalex.org/W3030432638 |
| PMID | 33328124 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Wei‐Chih Liao](https://scholariq.org/researchers/wei-chih-liao/)

## Paper primary topic

- [Pancreatic and Hepatic Oncology Research](https://scholariq.org/topics/pancreatic-and-hepatic-oncology-research/)

## Paper topics

- [Pancreatic and Hepatic Oncology Research](https://scholariq.org/topics/pancreatic-and-hepatic-oncology-research/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.