# Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/non-invasive-automated-3d-thyroid-lesion-classification-in-ultrasound-a-class-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | U. Rajendra Acharya,S. Vinitha Sree,M. Muthu Rama Krishnan,Filippo Molinari,R Garberoglio,Jasjit S. Suri |
| Citations | 128 |
| DOI | 10.1016/j.ultras.2011.11.003 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2043257938 |
| PMID | 22154208 |
| Type | article |
| Year | 2011 |

## Paper authors

- [R Garberoglio](https://scholariq.org/researchers/r-garberoglio/)

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

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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.