An ultrasound image segmentation method for thyroid nodules based on dual-path attention mechanism-enhanced UNet++

An ultrasound image segmentation method for thyroid nodules based on dual-path attention mechanism-enhanced UNet++

Abstract Purpose This study aims to design an auxiliary segmentation model for thyroid nodules to increase diagnostic accuracy and efficiency, thereby reducing the workload of medical personnel. Methods This study proposes a Dual-Path Attention Mechanism (DPAM)-UNet++ model, which can automatically...

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Bibliographic Details
Main Authors: Peizhen Dong, Ronghua Zhang, Jun Li, Changzheng Liu, Wen Liu, Jiale Hu, Yongqiang Yang, Xiang Li
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Imaging
Subjects:
Ultrasound image segmentation
Thyroid nodule segmentation
Dual path attention module
Computer aided diagnosis
Deep learning
Online Access:https://doi.org/10.1186/s12880-024-01521-z
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https://doi.org/10.1186/s12880-024-01521-z

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