首页|Research from JSS Science and Technology University Has Provided New Study Findi ngs on Artificial Intelligence (Ensemble learning methods with single and multi- model deep learning approaches for cephalometric landmark annotation)
Research from JSS Science and Technology University Has Provided New Study Findi ngs on Artificial Intelligence (Ensemble learning methods with single and multi- model deep learning approaches for cephalometric landmark annotation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsoriginating from JSS Science and T echnology University by NewsRx correspondents, research stated, “Thestudy explo res end-to-end deep learning frameworks and ensemble methods to enhance the accu racy ofanatomical landmark identification in cephalometric radiographs, crucial for precise cephalometric analysisand effective orthodontic treatment planning . The methodology is strategically designed to address thecomplexities and vari ations in cephalometric images through a dual learning process: building base learners using end-to-end regression approaches and then constructing a meta-learn er that ensembles theoutput of the base models to obtain collective predictions .”
JSS Science and Technology UniversityA rtificial IntelligenceMachine Learning
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