# Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-classification-of-gastric-neoplasms-in-endoscopic-images-using-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bum‐Joo Cho,Chang Seok Bang,Se Woo Park,Young Joo Yang,Seung In Seo,Hyun Lim,Woon Geon Shin,Ji Taek Hong,Yong Tak Yoo,Seok Hwan Hong,Jae Ho Choi,Jae Jun Lee,Gwang Ho Baik |
| Citations | 164 |
| DOI | 10.1055/a-0981-6133 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2969704006 |
| PMID | 31443108 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Seung In Seo](https://scholariq.org/researchers/seung-in-seo/)

## Paper journal

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

## Paper primary topic

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

## Paper topics

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Gastric Cancer Management and Outcomes](https://scholariq.org/topics/gastric-cancer-management-and-outcomes/)
- [Gastrointestinal Bleeding Diagnosis and Treatment](https://scholariq.org/topics/gastrointestinal-bleeding-diagnosis-and-treatment/)

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