A novel deep learning framework for generation and evaluation of thyroid ultrasound elastography: a multicenter study

Background: Ultrasound examination has long been the primary method for detecting thyroid nodules. Elastography, introduced as a supplementary ultrasound modality, has shown promise in enhancing the accuracy of non-invasive assessments for thyroid nodule malignancy. However, its reliance on specialized equipment and subjective interpretation by specialists poses challenges and introduces variability.

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Published
2025-04-11
DOI
https://doi.org/10.1145/3745034.3745057
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
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article

A novel deep learning framework for generation and evaluation of thyroid ultrasound elastography: a multicenter study

Xuehai Ding, shiyue yao
Ultrasound and Hyperthermia Applications
article

A novel deep learning framework for generation and evaluation of thyroid ultrasound elastography: a multicenter study

Xuehai Ding, shiyue yao
article en

Abstract

Background: Ultrasound examination has long been the primary method for detecting thyroid nodules. Elastography, introduced as a supplementary ultrasound modality, has shown promise in enhancing the accuracy of non-invasive assessments for thyroid nodule malignancy. However, its reliance on specialized equipment and subjective interpretation by specialists poses challenges and introduces variability.

Shanghai University of Engineering Science (CN)
Openalex Percentile: Top 81%
Ultrasound and Hyperthermia Applications
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A novel deep learning framework for generation and evaluation of thyroid ultrasound elastography: a multicenter study — Xuehai Ding, shiyue yao · (2025) | TGRS Research Map | TGRS