# Radiomics feature analysis and model research for predicting histopathological subtypes of non‐small cell lung cancer on CT images: A multi‐dataset study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/radiomics-feature-analysis-and-model-research-for-predicting-histopathological/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fan Song,Xiao Song,Youdan Feng,Guangda Fan,Yangyang Sun,Peng Zhang,Jinkai Li,Fei Liu,Guanglei Zhang |
| Citations | 32 |
| DOI | 10.1002/mp.16233 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4317702979 |
| PMID | 36682051 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Jinkai Li](https://scholariq.org/researchers/jinkai-li/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

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