Classification of thyroid ultrasound standard section based on ResNet-cbam

Yifeng Zhu; Lanzhen Yao; Xingyu Zhou; Xiaofeng An

doi:10.1117/12.2685643

28 July 2023 Classification of thyroid ultrasound standard section based on ResNet-cbam

Yifeng Zhu, Lanzhen Yao, Xingyu Zhou, Xiaofeng An

Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 127160V (2023) https://doi.org/10.1117/12.2685643
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China

Abstract

For organ ultrasound examination, it is very important to accurately obtain the standard section of classified organ ultrasound images. In this paper, a method based on ResNet-cbam is proposed to identify the classified ultrasonic standard plane. By collecting thyroid ultrasound images, which are divided into TPTI transverse section isthm us, TPRT transverse section right thyroid lobe, TPLT transverse section left thyroid lobe and lateral thyroid lobe longitudinal section. After image denoising and enhancement preprocessing, several models are first used for experiments, which show that ResNet-cbam has the best classification and recognition effect. By constantly adjusting the ResNet-cbam model structure, the number of iterations comparative experiments on changing the learning rate and activation function show that the best experimental effect is when Resnet18-cbam and the learning rate lr is 0.001 and the activation function is relu() function. Finally, the accuracy of classification and recognition is 89%, which proves that ResNet-cbam can recognize the standard section of thyroid well.

Citation Download Citation

Yifeng Zhu, Lanzhen Yao, Xingyu Zhou, and Xiaofeng An "Classification of thyroid ultrasound standard section based on ResNet-cbam", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 127160V (28 July 2023); https://doi.org/10.1117/12.2685643

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KEYWORDS

Thyroid

Ultrasonography

Image classification

Image processing

Standards development

Ultrasonics

Data modeling

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