A Review on Ultrasound-based Thyroid Cancer Tissue Characterization and Automated Classification

被引：87

作者：

Acharya, U. Rajendra ^{[1
,2
]}

Swapna, G. ^{[3
]}

Sree, S. Vinitha ^{[4
]}

Molinari, Filippo ^{[5
]}

Gupta, Savita ^{[6
]}

Bardales, Ricardo H. ^{[7
]}

Witkowska, Agnieszka ^{[8
]}

Suri, Jasjit S. ^{[9
,10
,11
]}

机构：

[1] Ngee Ann Polytech, Dept Elect & Commun Engn, Singapore 599489, Singapore

[2] Univ Malaya, Fac Engn, Dept Biomed Engn, Kuala Lumpur 50603, Malaysia

[3] Govt Engn Coll, Dept Appl Elect & Instrumentat, Kozhikode 673005, Kerala, India

[4] Global Biomed Technol Inc, Roseville, CA USA

[5] Politecn Torino, Dept Elect & Telecommun, Biolab, Turin, Italy

[6] Panjab Univ, Univ Inst Engn & Technol, Dept Comp Sci & Engn, Chandigarh 160014, India

[7] Outpatient Pathol Associates, Sacramento, CA 95816 USA

[8] Med Univ Silesia, Dept Internal Med Diabetol & Nephrol, Zabrze, Poland

[9] Global Biomed Technol Inc, ThyroScan Div, Roseville, CA USA

[10] AtheroPoint TM, Roseville, CA USA

[11] Idaho State Univ Affl, Dept Elect Engn, Pocatello, ID USA

来源：

TECHNOLOGY IN CANCER RESEARCH & TREATMENT | 2014年 / 13卷 / 04期

关键词：

Thyroid lesion; Computer aided diagnosis; High resolution ultrasound; Contrast enhanced ultrasound; Texture; CONTRAST-ENHANCED ULTRASOUND; LESION CLASSIFICATION; SONOGRAPHIC FEATURES; PREDICTIVE-VALUE; BENIGN; NODULES; MALIGNANCY; RISK; DIFFERENTIATION; DIAGNOSIS;

D O I：

10.7785/tcrt.2012.500381

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

In this paper, we review the different studies that developed Computer Aided Diagnostic (CAD) for automated classification of thyroid cancer into benign and malignant types. Specifically, we discuss the different types of features that are used to study and analyze the differences between benign and malignant thyroid nodules. These features can be broadly categorized into (a) the sonographic features from the ultrasound images, and (b) the non-clinical features extracted from the ultrasound images using statistical and data mining techniques. We also present a brief description of the commonly used classifiers in ultrasound based CAD systems. We then review the studies that used features based on the ultrasound images for thyroid nodule classification and highlight the limitations of such studies. We also discuss and review the techniques used in studies that used the non-clinical features for thyroid nodule classification and report the classification accuracies obtained in these studies.

引用

页码：289 / 301

页数：13

共 57 条

[1] 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 [J].