"DeepMQ: A Deep Learning Approach Based Myelin Quantification in ..."

Sibel Cimen et al. (2018)

> Home

Details and statistics

DOI: 10.23919/EUSIPCO.2018.8553438

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/eusipco/CimenCEAKT18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eusipco/CimenCEAKT18
Sibel Cimen, Abdulkerim Çapar, Dursun Ali Ekinci, Umut Engin Ayten, Bilal Ersen Kerman, Behcet Ugur Töreyin:
DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images. EUSIPCO 2018: 61-65

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.