Lightweight Residual Network for The Classification of Thyroid Nodules

Ultrasound is a useful technique for diagnosing thyroid nodules. Benign and malignant nodules that automatically discriminate in the ultrasound pictures can provide diagnostic recommendations or, improve diagnostic accuracy in the absence of specialists. The main issue here is how to collect suitabl...

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Bibliographic Details
Main Authors Nikhila, Ponugoti, Nathan, Sabari, Ataide, Elmer Jeto Gomes, Illanes, Alfredo, Friebe, Michael, Abbineni, Srichandana
Format Journal Article
LanguageEnglish
Published 16.11.2019
Subjects
Computer Science - Computer Vision and Pattern Recognition
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Summary:Ultrasound is a useful technique for diagnosing thyroid nodules. Benign and malignant nodules that automatically discriminate in the ultrasound pictures can provide diagnostic recommendations or, improve diagnostic accuracy in the absence of specialists. The main issue here is how to collect suitable features for this particular task. We suggest here a technique for extracting features from ultrasound pictures based on the Residual U-net. We attempt to introduce significant semantic characteristics to the classification. Our model gained 95% classification accuracy.
DOI:10.48550/arxiv.1911.08303