关键词: 统计阈值, 中值滤波, 残差神经网络, 甲状腺结节, 特征提取

Abstract: Thyroid nodule detection plays an important role in medical diagnosis. The traditional machine learning method has many problems, such as the complexity of noise and the difficulty of extracting nodules. A deep learning model is introduced and a thyroid nodule detection method based on median filter and residual network is proposed. The median filtering method based on statistical threshold is used to improve the edge features of the nodules and realize the automatic enhancement of the ultrasonic image. Then, the CNN6-Residual model is constructed to extract and screen the characteristics of the nodules. It has cross layer connection and residual learning in order to reduce the difficulty of network training. The experimental results show that the accuracy of this method is 97.03%, which has high clinical application value.

Key words: statistical threshold, median filter, depth residual network, thyroid nodules, feature extraction