首页> Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention> Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT).

Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT).

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第一作者： Jue,Jiang

第一单位： Department of Medical Physics, Memorial Sloan Kettering Cancer Center.

作者： Jue,Jiang ^[1] ; Neelam,Tyagi ^[1] ; Kathryn,Tringale ^[2] ; Christopher,Crane ^[2] ; Harini,Veeraraghavan ^[1]

作者单位： Department of Medical Physics, Memorial Sloan Kettering Cancer Center. ^[1] Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center. ^[2]

关键词 Self-supervised learning masked embedding transformer masked image modeling segmentation self-distillation

DOI 10.1007/978-3-031-16440-8_53

PMID 36468915

发布时间 2022-12-07

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Medical image computing and computer-assisted intervention

2022年13434卷

556-566页

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Medical image computing and computer-assisted intervention

2022年13434卷

556-566页

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Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT).

Medical image computing and computer-assisted intervention

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Medical image computing and computer-assisted intervention

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Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT).

Medical image computing and computer-assisted intervention

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Medical image computing and computer-assisted intervention

相关期刊

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