"Neural network training by maximization of the area under the ROC curve: ..."

Berkman Sahiner et al. (2013)

> Home

Details and statistics

DOI: 10.1117/12.2007615

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/micad/SahinerHCCHP13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/micad/SahinerHCCHP13
Berkman Sahiner, Xin He, Weijie Chen, Heang-Ping Chan, Lubomir M. Hadjiiski, Nicholas Petrick:
Neural network training by maximization of the area under the ROC curve: application to characterization of masses on breast ultrasound as malignant or benign. Computer-Aided Diagnosis 2013: 86701M

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.