首页|Reports from AGH University of Science and Technology Advance Knowledge in Machine Learning (Differentiating Age and Sex In Vertebral Body Ct Scans - Texture Analysis Versus Deep Learning Approach)
Reports from AGH University of Science and Technology Advance Knowledge in Machine Learning (Differentiating Age and Sex In Vertebral Body Ct Scans - Texture Analysis Versus Deep Learning Approach)
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Elsevier
2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Krakow, Poland, by NewsRx correspondents, research stated, “The automated analysis of computed tomography (CT) scans of vertebrae, for the purpose of determining an individual’s age and sex constitutes a vital area of research. Accurate assessment of bone age in children facil-itates the monitoring of their growth and development.” Financial support for this research came from AGH University of Science and Technology, Faculty of EAIIB, KBIB.
KrakowPolandEuropeBone ResearchCyborgsEmerging TechnologiesHealth and MedicineMachine LearningAGH University of Science and Technology
NETL
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Elsevier
