首页|Shandong University Reports Findings in Arthroplasty (Development and clinical v alidation of a deep learning-based knee CT image segmentation method for robotic -assisted total knee arthroplasty)
Shandong University Reports Findings in Arthroplasty (Development and clinical v alidation of a deep learning-based knee CT image segmentation method for robotic -assisted total knee arthroplasty)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Arthroplasty is the subject of a report. According tonews reporting out of Shandong, People ’s Republic of China, by NewsRx editors, research stated, “Thisstudy aimed to d evelop a novel deep convolutional neural network called Dual-path Double Attenti onTransformer (DDA-Transformer) designed to achieve precise and fast knee joint CT image segmentationand to validate it in robotic-assisted total knee arthrop lasty (TKA). The femoral, tibial, patellar, andfibular segmentation performance and speed were evaluated and the accuracy of component sizing, boneresection a nd alignment of the robotic-assisted TKA system constructed using this deep lear ning networkwas clinically validated.”
ShandongPeople’s Republic of ChinaAs iaArthroplastyEmerging TechnologiesHealth and MedicineKnee ArthroplastyMachine LearningOrthopedic ProceduresRoboticsRobotsSurgery
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