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A Thyroid Nodule Ultrasound Image Grading Model Integrating Medical Prior Knowledge. [PDF]
Chen H, Liu C, Cheng X, Jiang C, Wang Y.
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Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior
IEEE International Symposium on Biomedical Imaging, 2021Thyroid nodule segmentation in ultrasound images is a valuable and challenging task, and it is of great significance for the diagnosis of thyroid cancer.
Haifan Gong +7 more
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SGUNET: Semantic Guided UNET For Thyroid Nodule Segmentation
IEEE International Symposium on Biomedical Imaging, 2021Thyroid nodule segmentation from ultrasound images is an important step for early diagnosis of thyroid diseases. This paper introduces a novel encoder-decoder network architecture, called Semantic Guided UNet (SGUNet), for automatic thyroid nodule ...
Huitong Pan +2 more
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Thyroid, 2020
Background: Single-center trials demonstrated moderate-substantial level of interobserver agreement in the evaluation of ultrasound (US) features of thyroid nodules.
Agnese Persichetti +12 more
semanticscholar +1 more source
Background: Single-center trials demonstrated moderate-substantial level of interobserver agreement in the evaluation of ultrasound (US) features of thyroid nodules.
Agnese Persichetti +12 more
semanticscholar +1 more source
Thyroid, 2020
Background: It has been advocated to apply individualized strategies to evaluate thyroid nodules due to the growing awareness that the pathogenesis of thyroid cancer is not uniform.
H. Guan +8 more
semanticscholar +1 more source
Background: It has been advocated to apply individualized strategies to evaluate thyroid nodules due to the growing awareness that the pathogenesis of thyroid cancer is not uniform.
H. Guan +8 more
semanticscholar +1 more source

