Chiang Mai University Reports Findings in Vascular Malformations (Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features)
Chiang Mai University Reports Findings in Vascular Malformations (Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features)
扫码查看
点击上方二维码区域，可以放大扫码查看
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Vascular Malformations is the subject of a report. According to news reporting from Chiang Mai, Thailand, by NewsRx journalists, research stated, “To assess the efficacy of radiomics features extracted from non-contrast computed tomography (NCCT) scans in differentiating multiple etiologies of sponta neous intracerebral hemorrhage (ICH). CT images and clinical data from 141 ICH patients from 2010 to 2022 were collected.”
Key words
Chiang Mai/Thailand/Asia/Brain Diseas es and Conditions/Cardiovascular Abnormalities/Cardiovascular Diseases and Conditions/Central Nervous System Diseases and Conditions/Cerebrovascular Disorders/Congenital Abnormalities/Cyborgs/Emerging Technologies/Health and Medicine/Hemorrhage/Intracranial Hemorrhages/Machine Learning/Vascular Diseases and Conditions/Vascular Malformations.
NETL
NSTL