"Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization ..."

Khaoula Belhaj Soulami et al. (2019)

> Home

Details and statistics

DOI: 10.1109/EIT.2019.8833677

access: closed

type: Conference or Workshop Paper

metadata version: 2019-09-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/eit/SoulamiGSTK19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eit/SoulamiGSTK19
Khaoula Belhaj Soulami, Elias Ghribi, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch:
Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms. EIT 2019: 85-91

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.