# Multimodal ultrasound radiomics model combined with clinical model for differentiating follicular thyroid adenoma from carcinoma

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multimodal-ultrasound-radiomics-model-combined-with-clinical-model-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qianqian Zhao,Shiyan Guo,Yan Zhang,Jinguang Zhou,Ping Zhou |
| Citations | 9 |
| DOI | 10.1186/s12880-025-01685-2 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-025-01685-2 |
| OpenAlex ID | https://openalex.org/W4410093997 |
| PMID | 40325381 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Jinguang Zhou](https://scholariq.org/researchers/jinguang-zhou/)

## Paper journal

- [BMC Medical Imaging](https://scholariq.org/journals/bmc-medical-imaging/)

## Paper primary topic

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

## Paper topics

- [Thyroid Cancer Diagnosis and Treatment](https://scholariq.org/topics/thyroid-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.