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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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Bibliografiske detaljer
Udgivet i:IEEE Access
Main Authors: Kumar, Viksit, Webb, Jeremy, Gregory, Adriana, Meixner, Duane D., Knudsen, John M., Callstrom, Matthew, Fatemi, Mostafa, Alizad, Azra
Format: Artigo
Sprog:Inglês
Udgivet: 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7521441/
https://ncbi.nlm.nih.gov/pubmed/32995106
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2020.2982390
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