{"title":"关于“使用从粗到细的深度学习模型在急性缺血性卒中患者的NCCT和CTA上自动分割颅内血栓”。","authors":"M Tortora, F Pacchiano","doi":"10.3174/ajnr.A7972","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":7875,"journal":{"name":"American Journal of Neuroradiology","volume":"44 9","pages":"E41"},"PeriodicalIF":3.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494942/pdf/","citationCount":"0","resultStr":"{\"title\":\"Regarding \\\"Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model\\\".\",\"authors\":\"M Tortora, F Pacchiano\",\"doi\":\"10.3174/ajnr.A7972\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":7875,\"journal\":{\"name\":\"American Journal of Neuroradiology\",\"volume\":\"44 9\",\"pages\":\"E41\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494942/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Neuroradiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3174/ajnr.A7972\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Neuroradiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3174/ajnr.A7972","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/17 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Regarding "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model".
期刊介绍:
The mission of AJNR is to further knowledge in all aspects of neuroimaging, head and neck imaging, and spine imaging for neuroradiologists, radiologists, trainees, scientists, and associated professionals through print and/or electronic publication of quality peer-reviewed articles that lead to the highest standards in patient care, research, and education and to promote discussion of these and other issues through its electronic activities.