"SAC-Net: Learning with weak and noisy labels in histopathology image ..."

Ruoyu Guo et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.MEDIA.2023.102790

access: closed

type: Journal Article

metadata version: 2023-06-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/mia/GuoXPS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mia/GuoXPS23
Ruoyu Guo, Kunzi Xie, Maurice Pagnucco, Yang Song:
SAC-Net: Learning with weak and noisy labels in histopathology image segmentation. Medical Image Anal. 86: 102790 (2023)

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.