# Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cost-effective-and-non-invasive-automated-benign-and-amp-malignant-thyroid/

## Facts

| Field | Value |
| --- | --- |
| Author Names | U. Rajendra Acharya,Oliver Faust,S. Vinitha Sree,Filippo Molinari,R Garberoglio,Jasjit S. Suri |
| Citations | 114 |
| DOI | 10.7785/tcrt.2012.500214 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://journals.sagepub.com/doi/pdf/10.7785/tcrt.2012.500214 |
| OpenAlex ID | https://openalex.org/W2057386941 |
| PMID | 21728394 |
| 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/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.