


default search action
"Deep Adversarial Training for Multi-Organ Nuclei Segmentation in ..."
Faisal Mahmood et al. (2020)
- Faisal Mahmood
, Daniel Borders
, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian
, Alexander S. Baras
, Nicholas J. Durr
:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3257-3267 (2020)

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.