首页|Fudan University Reports Findings in Machine Learning (Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ult rasound images)
Fudan University Reports Findings in Machine Learning (Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ult rasound images)
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 Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “Toevaluate the efficacy of automated machine learning (AutoML) models in detecting fundus dise ases usingocular B-scan ultrasound images. Ophthalmologists annotated two B-sca n ultrasound image datasets todevelop three AutoML models-single-label, multi-c lass single-label and multi-label-on the Vertex artificialintelligence (AI) pla tform.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
