Robotics & Machine Learning Daily News2024,Issue(Sep.13) :67-68.

Research and Development Reports Findings in Machine Learning (Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients)

Robotics & Machine Learning Daily News2024,Issue(Sep.13) :67-68.

Research and Development Reports Findings in Machine Learning (Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients)

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Abstract

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.”

Key words

Zurich/Switzerland/Europe/Bone Resear ch/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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