Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture

Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture

Abstract Background Identifying thyroid nodules’ boundaries is crucial for making an accurate clinical assessment. However, manual segmentation is time-consuming. This paper utilized U-Net and its improved methods to automatically segment thyroid nodules and glands. Methods The 5822 ultrasound image...

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Bibliographic Details
Main Authors: Tianlei Zheng, Hang Qin, Yingying Cui, Rong Wang, Weiguo Zhao, Shijin Zhang, Shi Geng, Lei Zhao
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Medical Imaging
Subjects:
Convolutional neural network
Deep learning
Ultrasound images
Semantic segmentation
Thyroid nodule
U-Net
Online Access:https://doi.org/10.1186/s12880-023-01011-8

Internet

https://doi.org/10.1186/s12880-023-01011-8

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