"Improving Automated Lung Segmentation in Ct Images by Adding Anomalies ..."

Azael de Melo e Sousa et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ISBI52829.2022.9761592

access: closed

type: Conference or Workshop Paper

metadata version: 2022-05-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/isbi/SousaSRZRCF22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/isbi/SousaSRZRCF22
Azael de Melo e Sousa, Ilan F. Da Silva, Noemí Maritza Lapa Romero, Rachel Zerbini, Fabiano Reis, João Luiz Dihl Comba, Alexandre X. Falcão:
Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura. ISBI 2022: 1-5

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.