{"title":"医疗人工智能框架为开发医疗成像人工智能设备","authors":"Bumhwi Kim, Eunryung Lee","doi":"10.1109/ICTC55196.2022.9952625","DOIUrl":null,"url":null,"abstract":"This paper deals with the description of a framework that assists medical device imaging developers to develop medical imaging AI software more easily than using existing deep learning libraries to create medical imaging AI software. The framework proposed in this paper includes TensorFlow and PyTorch deep learning libraries, as well as image preprocessing libraries, and systematized them so that beginners to experts can handle them.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Medical artificial intelligence framework for the development of medical imaging artificial intelligence devices\",\"authors\":\"Bumhwi Kim, Eunryung Lee\",\"doi\":\"10.1109/ICTC55196.2022.9952625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the description of a framework that assists medical device imaging developers to develop medical imaging AI software more easily than using existing deep learning libraries to create medical imaging AI software. The framework proposed in this paper includes TensorFlow and PyTorch deep learning libraries, as well as image preprocessing libraries, and systematized them so that beginners to experts can handle them.\",\"PeriodicalId\":441404,\"journal\":{\"name\":\"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC55196.2022.9952625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC55196.2022.9952625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medical artificial intelligence framework for the development of medical imaging artificial intelligence devices
This paper deals with the description of a framework that assists medical device imaging developers to develop medical imaging AI software more easily than using existing deep learning libraries to create medical imaging AI software. The framework proposed in this paper includes TensorFlow and PyTorch deep learning libraries, as well as image preprocessing libraries, and systematized them so that beginners to experts can handle them.