{"title":"人工智能在癌症病理鉴定中的机遇与前景","authors":"K. Shelekhova","doi":"10.31917/2304234","DOIUrl":null,"url":null,"abstract":"Digitalization, artificial intelligence and machine learning are increasingly being introduced into medicine and pathology in particular. The review presents the definitions and modern concepts of this field, the possibilities and limitations, the advantages and disadvantages of their use. Examples from representative publications are discussed.","PeriodicalId":101072,"journal":{"name":"Reports of Practical Oncology","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OPPORTUNITIES AND PROSPECTS OF ARTIFICIAL INTELLIGENCE IN THE PATHOLOGICAL IDENTIFICATION OF CANCER\",\"authors\":\"K. Shelekhova\",\"doi\":\"10.31917/2304234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digitalization, artificial intelligence and machine learning are increasingly being introduced into medicine and pathology in particular. The review presents the definitions and modern concepts of this field, the possibilities and limitations, the advantages and disadvantages of their use. Examples from representative publications are discussed.\",\"PeriodicalId\":101072,\"journal\":{\"name\":\"Reports of Practical Oncology\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reports of Practical Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31917/2304234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reports of Practical Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31917/2304234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OPPORTUNITIES AND PROSPECTS OF ARTIFICIAL INTELLIGENCE IN THE PATHOLOGICAL IDENTIFICATION OF CANCER
Digitalization, artificial intelligence and machine learning are increasingly being introduced into medicine and pathology in particular. The review presents the definitions and modern concepts of this field, the possibilities and limitations, the advantages and disadvantages of their use. Examples from representative publications are discussed.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
