Comparison of Deep Learning Algorithms for Semantic Segmentation of Ultrasound Thyroid Nodules

Comparison of Deep Learning Algorithms for Semantic Segmentation of Ultrasound Thyroid Nodules

Ultrasound (US) imaging is used as a preliminary diagnostic tool for the detection, risk-stratification and classification of thyroid nodules. In order to perform the risk stratification of nodules in US images physicians first need to effectively detect the nodules. This process is affected due to...

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Bibliographic Details
Main Authors: Gomes Ataide Elmer Jeto, Agrawal Shubham, Jauhari Aishwarya, Boese Axel, Illanes Alfredol, Schenke Simone, Kreissl Michael C., Friebe Michael
Format: Article
Language:English
Published: De Gruyter 2021-10-01
Series:Current Directions in Biomedical Engineering
Subjects:
ultrasound imaging
thyroid nodules
deep learning
image processing
computer aided diagnosis
Online Access:https://doi.org/10.1515/cdbme-2021-2224

Internet

https://doi.org/10.1515/cdbme-2021-2224

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