Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, N. Almujally, Muhammad Aslam, Syeda Fizzah Jilani
{"title":"GastroNet:一个鲁棒的基于注意力的深度学习和余弦相似度特征选择框架,用于从内镜图像中分类胃肠道疾病","authors":"Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, N. Almujally, Muhammad Aslam, Syeda Fizzah Jilani","doi":"10.1049/cit2.12231","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46211,"journal":{"name":"CAAI Transactions on Intelligence Technology","volume":"17 1","pages":""},"PeriodicalIF":8.4000,"publicationDate":"2023-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images\",\"authors\":\"Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, N. Almujally, Muhammad Aslam, Syeda Fizzah Jilani\",\"doi\":\"10.1049/cit2.12231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":46211,\"journal\":{\"name\":\"CAAI Transactions on Intelligence Technology\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2023-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CAAI Transactions on Intelligence Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1049/cit2.12231\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAAI Transactions on Intelligence Technology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1049/cit2.12231","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images
期刊介绍:
CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.