首页|Findings from Shandong University of Science and Technology Provide New Insights into Intelligent Systems (A Teacher-guided Earlylearning Method for Medical Im age Segmentation From Noisy Labels)
Findings from Shandong University of Science and Technology Provide New Insights into Intelligent Systems (A Teacher-guided Earlylearning Method for Medical Im age Segmentation From Noisy Labels)
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 Daily News Daily News – Investigators publish new report on Ma chine Learning - Intelligent Systems. According to news reporting originating fr om Shandong, People’s Republic of China, by NewsRx correspondents, research stat ed, “The success of current deep learning models depends on a large number of pr ecise labels. However, in the field of medical image segmentation, acquiring pre cise labels is labor-intensive and time-consuming.”
ShandongPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningShandong University of Science and Te chnology