Neural Network for Image Classification of Laryngeal Cancer
Fanfan Wu, Pei‐zhe Wu, Yuanyuan Hou, Huiliang Shang · 2021
At present, convolution neural network has been applied to the classification of laryngeal cancer. An improved network model, RICN model, is constructed by combining Resnet model with Inception model. By using Resnet model, Inception model and RICN model to classify laryngeal cancer images, the performance of these three network models is evaluated and compared. The experimental data show that the improved RICN network model is superior to the traditional two network models in terms of accuracy, specificity and sensitivity. And the validity and robustness of the RICN network model are also verified.