Robotics & Machine Learning Daily News2024,Issue(Mar.25) :62-63.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.25) :62-63.

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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Abstract

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.”

Key words

Shandong/People's Republic of China/Asia/Intelligent Systems/Machine Learning/Shandong University of Science and Te chnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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