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Paper Abstract and Keywords
Presentation 2024-12-22 14:15
Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High accuracy Medical Image Segmentation
ShiI Xiaoyu, Li yinhao (Rits.Univ), Cheng Jingliang, Zhao Guohua (The Affiliated Hospital of Zhengzhou University Zhengzhou Univ), Yen-wei Chen (Rits.Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
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Conference Information
Committee KANSAI  
Conference Date 2024-12-22 - 2024-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Metropolitan University, I-site Namba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Institute of Image Information and Television Engineers, Kansai chapter, Workshop for young researchers 
Paper Information
Registration To KANSAI 
Conference Code 2024-12-KANSAI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High accuracy Medical Image Segmentation 
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1st Author's Name ShiI Xiaoyu  
1st Author's Affiliation Ritsumeikan University (Rits.Univ)
2nd Author's Name Li yinhao  
2nd Author's Affiliation Ritsumeikan University (Rits.Univ)
3rd Author's Name Cheng Jingliang  
3rd Author's Affiliation The Affiliated Hospital of Zhengzhou University Zhengzhou University (The Affiliated Hospital of Zhengzhou University Zhengzhou Univ)
4th Author's Name Zhao Guohua  
4th Author's Affiliation The Affiliated Hospital of Zhengzhou University Zhengzhou University (The Affiliated Hospital of Zhengzhou University Zhengzhou Univ)
5th Author's Name Yen-wei Chen  
5th Author's Affiliation Ritsumeikan University (Rits.Univ)
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Date Time 2024-12-22 14:15:00 
Presentation Time 15 minutes 
Registration for KANSAI 
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