# A Texture Analysis–Based Prediction Model for Lymph Node Metastasis in Stage IA Lung Adenocarcinoma

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-texture-analysis-based-prediction-model-for-lymph-node-metastasis-in-stage-ia/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yawei Gu,Yunlang She,Dong Xie,Chenyang Dai,Yijiu Ren,Ziwen Fan,Huiyuan Zhu,Xiwen Sun,Huikang Xie,Gening Jiang,Chang Chen |
| Citations | 64 |
| DOI | 10.1016/j.athoracsur.2018.02.026 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2793917746 |
| PMID | 29550204 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Huiyuan Zhu](https://scholariq.org/researchers/huiyuan-zhu/)

## Paper journal

- [The Annals of Thoracic Surgery](https://scholariq.org/journals/the-annals-of-thoracic-surgery/)

## Paper primary topic

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Paper topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.