Unimiss: Universal medical self-supervised learning via breaking dimensionality barrier

Y Xie, J Zhang, Y Xia, Q Wu�- European Conference on Computer Vision, 2022 - Springer
Self-supervised learning (SSL) opens up huge opportunities for medical image analysis that
is well known for its lack of annotations. However, aggregating massive (unlabeled) 3D�…
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UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier

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UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier

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UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier

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UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier

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UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier

Y Xie, J Zhang, Y Xia, Q Wu�- European Conference on Computer Vision, 2022 - dl.acm.org
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