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Computer-Aided Diagnosis of Thyroid Nodule: A Review

Author(s): Deepika Koundal | Savita Gupta | Sukhwinder Singh

Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252

Volume: 3;
Issue: 4;
Start page: 67;
Date: 2012;
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Keywords: Thyroid Gland | Nodule | TIRADS | Ultrasound Images | Computer-Aided Diagnosis | Feature Extraction | Classification.

Diagnostic imaging is an important tool in medical science due to the constrained observations of the expert and uncertainties in medical knowledge. A thyroid ultrasound is a non-invasive imaging study used to detect and classify abnormalities of the thyroid gland. Computerized system is a valuable and beneficial means for feature extraction and classification of thyroid nodule in order to eliminate operator dependency and to improve the diagnostic accuracy. The aim of this paper is to review existing approaches to the automatic classification of nodules in thyroid ultrasound images, highlighting the keypoints and main differences between the used strategies. The aim of this paper is to review existing approaches for the diagnosis of Nodules in thyroid ultrasound images with their performance measures.
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Robotic process automation


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