In this paper, we proposed a novel Attention-guided Non-local Residual Network (ANR-Net) for thyroid segmentation in ultrasound image, which extracts the short- ...
In this paper, we propose a novel attention-guided non-local residual net for thyroid segmentation in ultrasound image and aims to focus on hardly-predicted ...
ANR-NET: Attention-Guided Non-Local Residual Network for ...
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A novel Attention-guided Non-local Residual Network (ANR-Net) for thyroid segmentation in ultrasound image, which extracts the short-long relationship to ...
In this paper, we present a novel adaptive method for ultrasound (US) image enhancement. It is based on a new measure of perceptual saliency and the ...
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We introduce a multi-task learning framework that simultaneously learns the nodule size prediction, gland position segmentation, and nodule position ...
Missing: ANR- | Show results with:ANR-
Oct 22, 2024 · ANR-NET: Attention-Guided Non-Local Residual Network for Thyroid Segmentation in Ultrasound Image. Conference Paper. Apr 2023. Xu Lu · Hee Guan ...
Apr 14, 2023 · This paper utilized U-Net and its improved methods to automatically segment thyroid nodules and glands.
Missing: ANR- | Show results with:ANR-
Nov 18, 2024 · This model is used to improve the accuracy of benign and malignant nodule classification in thyroid ultrasound images and to reduce the computational effort.
Missing: ANR- | Show results with:ANR-
This study utilizes soft shape supervision to improve the performance of detection and segmentation of boundaries of nodules.
Missing: ANR- | Show results with:ANR-
Feb 26, 2024 · An effective deep learning model for segmenting and categorizing thyroid nodules in this study follows the stages below.
Missing: ANR- Non-