{"title":"人工智能提高血液学诊断的可靠性","authors":"D. Starostka, Richard Dolezilek, K. Chasáková","doi":"10.14218/jctp.2023.00015","DOIUrl":null,"url":null,"abstract":"Diagnostic hematooncology is based on diverse methods of cellular and molecular analysis. Precise cytomorphological features have been defined for the classification of hema-tolymphoid neoplasms and many non-neoplastic conditions","PeriodicalId":73661,"journal":{"name":"Journal of clinical and translational pathology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Increases Reliability in Diagnostic Hematooncology\",\"authors\":\"D. Starostka, Richard Dolezilek, K. Chasáková\",\"doi\":\"10.14218/jctp.2023.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diagnostic hematooncology is based on diverse methods of cellular and molecular analysis. Precise cytomorphological features have been defined for the classification of hema-tolymphoid neoplasms and many non-neoplastic conditions\",\"PeriodicalId\":73661,\"journal\":{\"name\":\"Journal of clinical and translational pathology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of clinical and translational pathology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14218/jctp.2023.00015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of clinical and translational pathology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14218/jctp.2023.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence Increases Reliability in Diagnostic Hematooncology
Diagnostic hematooncology is based on diverse methods of cellular and molecular analysis. Precise cytomorphological features have been defined for the classification of hema-tolymphoid neoplasms and many non-neoplastic conditions