"LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based ..."

Anglin Liu et al. (2024)

> Home

Details and statistics

DOI: 10.1007/978-3-031-72114-4_39

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/miccai/LiuJSMZJDGS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miccai/LiuJSMZJDGS24
Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen:
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. MICCAI (9) 2024: 405-414

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.