# Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/convolutional-neural-network-for-the-diagnosis-of-early-gastric-cancer-based-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lan Li,Yishu Chen,Zhe Shen,Xuequn Zhang,Jianzhong Sang,Yong Ding,Xiaoyun Yang,­Jun Li­,Ming Chen,Chaohui Jin,Chunlei Chen,Chaohui Yu |
| Citations | 218 |
| DOI | 10.1007/s10120-019-00992-2 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10120-019-00992-2.pdf |
| OpenAlex ID | https://openalex.org/W2963589681 |
| PMID | 31332619 |
| Type | article |
| Year | 2019 |

## Paper authors

- [­Jun Li­](https://scholariq.org/researchers/jun-li-2/)

## Paper primary topic

- [Gastric Cancer Management and Outcomes](https://scholariq.org/topics/gastric-cancer-management-and-outcomes/)

## Paper topics

- [Gastric Cancer Management and Outcomes](https://scholariq.org/topics/gastric-cancer-management-and-outcomes/)
- [Helicobacter pylori-related gastroenterology studies](https://scholariq.org/topics/helicobacter-pylori-related-gastroenterology-studies/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

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