Ka Lee Li , Fatema Aftab , Martin Ga Zen Tam , Sai Ka Li
{"title":"使用卷积神经网络进行乳腺癌检测、诊断和分类的放射学研究趋势:对100篇被引用最多的文章的文献计量学分析","authors":"Ka Lee Li , Fatema Aftab , Martin Ga Zen Tam , Sai Ka Li","doi":"10.1016/j.rcro.2024.100188","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100188"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radiological research trends in the use of convolutional neural networks for breast cancer detection, diagnosis and classification: A bibliometric analysis of the 100 most-cited articles\",\"authors\":\"Ka Lee Li , Fatema Aftab , Martin Ga Zen Tam , Sai Ka Li\",\"doi\":\"10.1016/j.rcro.2024.100188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":101248,\"journal\":{\"name\":\"The Royal College of Radiologists Open\",\"volume\":\"3 \",\"pages\":\"Article 100188\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Royal College of Radiologists Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773066224000391\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Royal College of Radiologists Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773066224000391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Radiological research trends in the use of convolutional neural networks for breast cancer detection, diagnosis and classification: A bibliometric analysis of the 100 most-cited articles