Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features

Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features

The classification of thyroid nodules using ultrasound (US) imaging is done using the Thyroid Imaging Reporting and Data System (TIRADS) guidelines that classify nodules based on visual and textural characteristics. These are composition, shape, size, echogenicity, calcifications, margins, and vascu...

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Bibliographic Details
Main Authors: Elmer Jeto Gomes Ataide, Nikhila Ponugoti, Alfredo Illanes, Simone Schenke, Michael Kreissl, Michael Friebe
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
thyroid nodules
ultrasound imaging
TIRADS
feature extraction
machine learning
classification
Online Access:https://www.mdpi.com/1424-8220/20/21/6110

Internet

https://www.mdpi.com/1424-8220/20/21/6110

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