首页|Researchers at Chongqing Medical University Release New Data on Support Vector M achines (Predicting the Prognosis of Hifu Ablation of Uterine Fibroids Using a D eep Learning-based 3d Superresolution Dwi Radiomics Model: a Multicenter Study)
Researchers at Chongqing Medical University Release New Data on Support Vector M achines (Predicting the Prognosis of Hifu Ablation of Uterine Fibroids Using a D eep Learning-based 3d Superresolution Dwi Radiomics Model: a Multicenter Study)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning - Support Vector Machines is now available. According to newsreporting originating from Chongqin g, People’s Republic of China, by NewsRx correspondents, researchstated, “Ratio nale and objectives: To assess the feasibility and efficacy of a deep learning-b ased threedimensional(3D) super-resolution diffusion-weighted imaging (DWI) ra diomics model in predicting theprognosis of high-intensity focused ultrasound ( HIFU) ablation of uterine fibroids. This retrospective studyincluded 360 patien ts with uterine fibroids who received HIFU treatment, including Center A (traini ng set:N = 240; internal testing set: N = 60) and Center B (external testing se t: N = 60) and were classifiedas having a favorable or unfavorable prognosis ba sed on the postoperative non-perfusion volume ratio.”
ChongqingPeople’s Republic of ChinaA siaAlgorithmsMachine LearningSupport Vector MachinesChongqing Medical Un iversity
NETL
NSTL
