福建电脑2024，Vol.40Issue(4)：9-13,5.DOI:10.16707/j.cnki.fjpc.2024.04.003
ResNet50模型在肺炎识别分类中的应用
Application of ResNet50 in Pneumonia Identification and Classification
摘要
Abstract
In order to improve the recognition and classification efficiency of pneumonia in medical images,this paper uses the ResNet50 model to recognize and classify COVID images,Lung-Opacity images,Normal images,and Pneumonia images.By comparing the differences in accuracy,F1 value,recall,accuracy,and specificity evaluation indicators between ResNet50 and AlexNet and GoogLeNet for pneumonia image classification,it is demonstrated that ResNet50 has better image recognition and classification performance than other models.关键词
肺炎/图像识别/残差网络模型/肺炎分类Key words
Pneumonia/Image Recognition/ResNet50 Model/Classification of Pneumonia分类
医药卫生引用本文复制引用
彭航,邓锡泽,牛玉霞,刘洋..ResNet50模型在肺炎识别分类中的应用[J].福建电脑,2024,40(4):9-13,5.基金项目
本文得到宁夏自然科学基金(No.2023AAC03293)资助. （No.2023AAC03293）
