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"M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism ..."

Wen Tang et al. (2021)

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DOI: 10.1007/978-3-030-87234-2_25

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

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  dblp key:
  - conf/miccai/TangKCYHZC21
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  - https://dblp.org/rec/conf/miccai/TangKCYHZC21
Wen Tang, Han Kang, Ying Cao, Pengxin Yu, Hu Han, Rongguo Zhang, Kuan Chen:
M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19. MICCAI (7) 2021: 262-272

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