{"title":"对 \"使用由粗到细的深度学习模型自动分割急性缺血性卒中患者 NCCT 和 CTA 上的颅内血栓 \"一文的回信","authors":"K. Zhu, B.K. Menon, W. Qiu","doi":"10.3174/ajnr.a8075","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":7875,"journal":{"name":"American Journal of Neuroradiology","volume":"65 10","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Response to Letter Regarding the Article “Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model”\",\"authors\":\"K. Zhu, B.K. Menon, W. Qiu\",\"doi\":\"10.3174/ajnr.a8075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":7875,\"journal\":{\"name\":\"American Journal of Neuroradiology\",\"volume\":\"65 10\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Neuroradiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3174/ajnr.a8075\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"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.a8075","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Response to Letter Regarding the Article “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.