Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning

Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning

Sonographic features associated with margins, shape, size, and volume of thyroid nodules are used to assess their risk of malignancy. Automatically segmenting nodules from normal thyroid gland would enable an automated estimation of these features. A novel multi-output convolutional neural network a...

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Bibliographic Details
Main Authors: Viksit Kumar, Jeremy Webb, Adriana Gregory, Duane D. Meixner, John M. Knudsen, Matthew Callstrom, Mostafa Fatemi, Azra Alizad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
segmentation
thyroid nodule
thyroid nodule volume
ultrasound
Online Access:https://ieeexplore.ieee.org/document/9044381/

Internet

https://ieeexplore.ieee.org/document/9044381/

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