Asymmetric Network Based on CNN and Attention Mechanisms for Thyroid Nodule Segmentation

Asymmetric Network Based on CNN and Attention Mechanisms for Thyroid Nodule Segmentation

Thyroid nodules are detected in up to 65% of the general population, and their early identification is clinically significant for formulating personalized treatment plans. Precise segmentation of nodules in ultrasound images is essential for assessing their morphological and pathological characteris...

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Bibliographic Details
Main Authors: Zhiheng Zhang, Lin Li, Cheng Zhao, Peng Ren, Ran Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Attention mechanism
convolutional neural network
deep learning
medical image computing
thyroid nodule segmentation
Online Access:https://ieeexplore.ieee.org/document/11121866/
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