# Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-a-malignancy-potential-binary-prediction-model-based-on-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jiejin Yang,Zeyang Chen,Weipeng Liu,Xiangpeng Wang,Xiangpeng Wang,Shuai Ma,Feifei Jin,Xiaoying Wang,Xiaoying Wang |
| Citations | 14 |
| DOI | 10.3348/kjr.2019.0851 |
| Fields | Mathematics,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.3348/kjr.2019.0851 |
| OpenAlex ID | https://openalex.org/W3094530002 |
| PMID | 33169545 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Feifei Jin](https://scholariq.org/researchers/feifei-jin/)

## Paper journal

- [Korean Journal of Radiology](https://scholariq.org/journals/korean-journal-of-radiology/)

## Paper primary topic

- [Gastrointestinal Tumor Research and Treatment](https://scholariq.org/topics/gastrointestinal-tumor-research-and-treatment/)

## Paper topics

- [Gastrointestinal Tumor Research and Treatment](https://scholariq.org/topics/gastrointestinal-tumor-research-and-treatment/)
- [Mathematical Biology Tumor Growth](https://scholariq.org/topics/mathematical-biology-tumor-growth/)
- [Multiple and Secondary Primary Cancers](https://scholariq.org/topics/multiple-and-secondary-primary-cancers/)

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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.