"Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced ..."

Noman Ahmed Siddiqui et al. (2025)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2025.3567558

access: open

type: Journal Article

metadata version: 2025-07-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/SiddiquiQAAAAG25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/SiddiquiQAAAAG25
Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu Gumaei:
Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging. IEEE Access 13: 102278-102298 (2025)

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.