# Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-of-extranodal-extension-in-head-and-neck-squamous-cell-carcinoma-by/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tzu‐Ting Huang,Yichen Lin,Chia-Heng Yen,Jui Lan,Chiun-Chieh Yu,Wei‐Che Lin,Yueh-Shng Chen,Cheng‐Kang Wang,Eng‐Yen Huang,Shinn‐Ying Ho |
| Citations | 22 |
| DOI | 10.1186/s40644-023-00601-7 |
| Fields | Medicine,Physics and Astronomy |
| Open Access | true |
| OA Status | gold |
| OA URL | https://cancerimagingjournal.biomedcentral.com/counter/pdf/10.1186/s40644-023-00601-7 |
| OpenAlex ID | https://openalex.org/W4386644903 |
| PMID | 37700385 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Cheng‐Kang Wang](https://scholariq.org/researchers/cheng-kang-wang/)

## 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/)
- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)
- [Advanced Radiotherapy Techniques](https://scholariq.org/topics/advanced-radiotherapy-techniques/)

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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.