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

Wen Tang et al. (2021)

> Home

Details and statistics

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

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/miccai/TangKCYHZC21
- ask others
- share record
  persistent URL:
  - 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

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.