"MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis."

Asim Smailagic et al. (2018)

> Home

Details and statistics

DOI: 10.1109/ICMLA.2018.00078

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icmla/Smailagic0NWKGM18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmla/Smailagic0NWKGM18
Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio J. C. Campilho:
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. ICMLA 2018: 481-488

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.