Diagnosis of Thyroid Nodule Based on Multi-Scale Se-Segnet and Resnet50
Bowen Zhao, 冯晓星 Feng Xiaoxing, Zhou Jianlin, Yaxing Sun · 2023
Thyroid nodule is a common chronic endocrine system disease, which may deteriorate into thyroid cancer without treatment. However, due to the distribution of many blood vessels, nerves and organs near the thyroid, the clarity of ultrasonic image is poor, and human eye recognition has great limitations.We propose a method for thyroid nodule diagnosis based on multi-scale Se-SegNet network and ResNet50. We improved and optimized the SegNet as the main backbone, and constructed a multi-scale Se-SegNet network to segment thyroid ultrasonography. Then we used ResNet50 to classify the segmented images and get the diagnosis results. The accuracy of the multi-scale Se-SegNet image segmentation model is 0.959.The accuracy of classification results was 0.967. This paper proposes a new diagnostic scheme for thyroid nodule, which can diagnose thyroid nodule quickly and accurately. The experimental results show that it has higher diagnostic accuracy than the traditional scheme..