# Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-radiomic-nomogram-can-predict-the-number-of-lymph-node-metastasis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Di Dong,M. Fang,Lingyun Tang,Xiuhong Shan,Jianbo Gao,Francesco Giganti,R.-P. Wang,Xiaping Chen,Xinzhe Wang,Diego Palumbo,Jia Fu,Wenzheng Li,J. Li,Lianzhen Zhong,Francesco De Cobelli,Jiafu Ji,Zaiyi Liu,Jie Tian |
| Citations | 434 |
| DOI | 10.1016/j.annonc.2020.04.003 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.annonc.2020.04.003 |
| OpenAlex ID | https://openalex.org/W3017170546 |
| PMID | 32304748 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Francesco De Cobelli](https://scholariq.org/researchers/francesco-de-cobelli/)

## Paper journal

- [Annals of Oncology](https://scholariq.org/journals/annals-of-oncology/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Gastrointestinal Tumor Research and Treatment](https://scholariq.org/topics/gastrointestinal-tumor-research-and-treatment/)

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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.