Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network

Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network

With the incidence of thyroid cancer increasing dramatically, the burden of sonographic diagnosis lies heavy for radiologists. An automatic computer-aided diagnosis system with both precision and efficiency is in demand. This retrospective study included 191 ultrasound images of 171 patients (85 ben...

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Bibliographic Details
Main Authors: Daqing Yang, Jianfu Xia, Rizeng Li, Wencai Li, Jisheng Liu, Rongjian Wang, Dong Qu, Jie You
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Computer-aided diagnosis
thyroid nodules
ultrasound
YOLOv5 network
attention module
label smoothing
Online Access:https://ieeexplore.ieee.org/document/10430222/
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