首页|Reports Outline Intelligent Systems Study Findings from Shandong University of S cience and Technology (Vit-upernet: a Hybrid Vision Transformer With Unified-per ceptual-parsing Network for Medical Image Segmentation)
Reports Outline Intelligent Systems Study Findings from Shandong University of S cience and Technology (Vit-upernet: a Hybrid Vision Transformer With Unified-per ceptual-parsing Network for Medical Image Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning-Intel ligent Systems are presented in a new report. According to news reporting out of Shandong, People's Republic of China, by NewsRx editors, research stated, “The existing image semantic segmentation models have low accuracy in detecting tiny targets or multi-targets at overlapping regions. This work proposes a hybrid vis ion transformer with unifiedperceptual- parsing network (ViT-UperNet) for medica l image segmentation.”
ShandongPeople's Republic of ChinaAsiaIntelligent SystemsMachine LearningShandong University of Science and Te chnology
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