# Radiomic features analysis in computed tomography images of lung nodule classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/radiomic-features-analysis-in-computed-tomography-images-of-lung-nodule/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chia‐Hung Chen,Chih-Kun Chang,Chih‐Yen Tu,Wei‐Chih Liao,Bing-Ru Wu,Kuei-Ting Chou,Yu-Rou Chiou,Shih-Neng Yang,Geoffrey Zhang,Tzung-Chi Huang |
| Citations | 160 |
| DOI | 10.1371/journal.pone.0192002 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0192002&type=printable |
| OpenAlex ID | https://openalex.org/W2793661135 |
| PMID | 29401463 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Chia‐Hung Chen](https://scholariq.org/researchers/chia-hung-chen/)
- [Chih‐Yen Tu](https://scholariq.org/researchers/chih-yen-tu/)
- [Wei‐Chih Liao](https://scholariq.org/researchers/wei-chih-liao/)

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## 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.