基于卷积神经网络的肝脏肿瘤检测算法及应用研究

Liver Tumor Detection Algorithm Based on Convolution Neural Network and Its Application

在肝脏肿瘤检测中,现代化信息化诊断技术的应用,不仅提高了诊断效率,还进一步保障了检测结果的准确性。卷积神经网络作为一种新的检测方法,在肝脏肿瘤检测中的构建,获得良好的检测效果。在临床诊断检测中,卷积神经网络的应用,关键在于模型的有效设计,这直接关系卷积神经网络在肝脏肿瘤检测中的应用价值。笔者重点分析了基于卷积神经网络的肝脏肿瘤检测算法,希望能够为相关研究提供借鉴。

In liver tumor detection,the application of modern information diagnosis technology not only improves the diagnostic efficiency,but also further ensures the accuracy of detection results.Convolution neural network,as a new detection method,has been constructed in the detection of liver tumor and achieved good detection effect.In clinical diagnosis and detection,the key to the application of convolutional neural network lies in the effective design of the model,which is directly related to the application value of convolutional neural network in liver tumor detection.The author focuses on the analysis of liver tumor detection algorithm based on convolutional neural network,hoping to provide reference for related research.