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.
A Review on Ultrasound-based Thyroid Cancer Tissue Characterization and Automated Classification / Acharya UR;Swapna G;Sree SV;Molinari F;Gupta S;Bardales RH;Witkowska A;Suri JS. - In: TECHNOLOGY IN CANCER RESEARCH & TREATMENT. - ISSN 1533-0346. - 13:4(2014), pp. 289-301. [10.7785/tcrt.2012.500381]
|Titolo:||A Review on Ultrasound-based Thyroid Cancer Tissue Characterization and Automated Classification.|
|Data di pubblicazione:||2014|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.7785/tcrt.2012.500381|
|Appare nelle tipologie:||1.1 Articolo in rivista|