首页|Research and Development Reports Findings in Machine Learning (Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients)
Research and Development Reports Findings in Machine Learning (Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients)
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 – New research on Machine Learning is the subject of a report. According to news reporting originating in Zurich, Switze rland, by NewsRx journalists, research stated, “This study aimed to develop mach ine learning methods to estimate bone mineral density and detect osteopenia/oste oporosis from conventional lumbar MRI (T1-weighted and T2-weighted images) and p lanar radiography in combination with clinical data and imaging parameters of the acquisition protocol. A database of 429 patients subjected to lumbar MRI, radiographs and dual-energy x-ray absorptiometry within 6 months was created from an institutional database.”
ZurichSwitzerlandEuropeBone Resear chCyborgsEmerging TechnologiesHealth and MedicineMachine Learning
NETL
NSTL
