{"title":"脑肿瘤图像分类识别探索综述与实验:人工智能技术的初步经验","authors":"Changhao Ding, Wenbo Zheng","doi":"10.1109/ICAICE54393.2021.00008","DOIUrl":null,"url":null,"abstract":"In this paper, we aim to focus on accurate brain tumor classification. We utilize two popular models, including AlexNet and VGG to realize the recognition of brain tumor dataset. We firstly pre-process and apply data enhancement for the given dataset and then, use those two model for classification. In conclusion, we found that the VGGNet is superior to AlexNet with a large margin and achieves a reasonable performance with 78.2%. Our paper provides a brief attempt for medical image classification.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Summary and Experiment on the Exploration of Brain Tumor Image Classification Recognition: Initial Experience of Artificial Intelligence Technology\",\"authors\":\"Changhao Ding, Wenbo Zheng\",\"doi\":\"10.1109/ICAICE54393.2021.00008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we aim to focus on accurate brain tumor classification. We utilize two popular models, including AlexNet and VGG to realize the recognition of brain tumor dataset. We firstly pre-process and apply data enhancement for the given dataset and then, use those two model for classification. In conclusion, we found that the VGGNet is superior to AlexNet with a large margin and achieves a reasonable performance with 78.2%. Our paper provides a brief attempt for medical image classification.\",\"PeriodicalId\":388444,\"journal\":{\"name\":\"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICE54393.2021.00008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICE54393.2021.00008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Summary and Experiment on the Exploration of Brain Tumor Image Classification Recognition: Initial Experience of Artificial Intelligence Technology
In this paper, we aim to focus on accurate brain tumor classification. We utilize two popular models, including AlexNet and VGG to realize the recognition of brain tumor dataset. We firstly pre-process and apply data enhancement for the given dataset and then, use those two model for classification. In conclusion, we found that the VGGNet is superior to AlexNet with a large margin and achieves a reasonable performance with 78.2%. Our paper provides a brief attempt for medical image classification.