Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation.

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作者： Tianxiang,Ouyang ^[1] ; Shun,Yang ^[2] ; Fangfang,Gou ^[1] ; Zhehao,Dai ^[2] ; Jia,Wu ^[3]

作者单位： School of Computer Science and Engineering, Central South University, Changsha 410083, China. ^[1] Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China. ^[2] School of Computer Science and Engineering, Central South University, Changsha 410083, China.;Research Center for Artificial Intelligence, Monash University, Melbourne, Clayton, VIC 3800, Australia. ^[3]

主题词青少年(Adolescent);骨肿瘤(Bone Neoplasms);儿童(Child);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);骨肉瘤(Osteosarcoma)

DOI 10.1155/2022/7973404

PMID 35707196

发布时间 2024-08-29

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Computational intelligence and neuroscience

2022年2022卷

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Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation.

Computational intelligence and neuroscience

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Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation.

Computational intelligence and neuroscience

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Computational intelligence and neuroscience

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