# Digital image analysis of EUS images accurately differentiates pancreatic cancer from chronic pancreatitis and normal tissue

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/digital-image-analysis-of-eus-images-accurately-differentiates-pancreatic-cancer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ananya Das,Cuong C. Nguyen,Feng Li,Baoxin Li |
| Citations | 114 |
| DOI | 10.1016/j.gie.2007.08.036 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2014496468 |
| PMID | 18179797 |
| Type | article |
| Year | 2008 |

## Paper authors

- [Baoxin Li](https://scholariq.org/researchers/baoxin-li/)

## Paper journal

- [Gastrointestinal Endoscopy](https://scholariq.org/journals/gastrointestinal-endoscopy/)

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