# Multilevel binomial logistic prediction model for malignant pulmonary nodules based on texture features of CT image

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multilevel-binomial-logistic-prediction-model-for-malignant-pulmonary-nodules/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Huan Wang,Xiuhua Guo,Zhongwei Jia,Hongkai Li,Zhigang Liang,Kuncheng Li,Qian He |
| Citations | 77 |
| DOI | 10.1016/j.ejrad.2009.01.024 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1969900098 |
| PMID | 19261415 |
| Type | article |
| Year | 2009 |

## Paper authors

- [Zhongwei Jia](https://scholariq.org/researchers/zhongwei-jia/)

## Paper journal

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

## 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/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)

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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.