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Journal Articles
- 2021
[j3]Linda Ait Mohamed
, Assia Cherfa, Yazid Cherfa, Noureddine Belkhamsa, Fatiha Alim-Ferhat:
Hybrid method combining superpixel, supervised learning, and random walk for glioma segmentation. Int. J. Imaging Syst. Technol. 31(1): 288-301 (2021)- [j2]Mohammed Abdelaziz, Yazid Cherfa, Assia Cherfa, Fatiha Alim-Ferhat:
Automatic brain tumor segmentation for a computer-aided diagnosis system. Int. J. Imaging Syst. Technol. 31(4): 2226-2236 (2021) - 2020
- [j1]Belkacem Hachemi, Zouaoui Chama, Fatiha Alim-Ferhat, El-sedik Lamini, Abdelkader Abderrahmane, Macho Anani, Catherine Choquet:
Fully automatic multisegmentation approach for magnetic resonance imaging brain tumor detection using improved region-growing and quasi-Monte Carlo-expectation maximization algorithm. Int. J. Imaging Syst. Technol. 30(1): 104-111 (2020)
Conference and Workshop Papers
- 2009
- [c2]Hamid Bessalah, Fatiha Alim-Ferhat, Hassen Salhi, S. Seddiki, Mohamed Issad, Oussama Kerdjidj:
On Line Wavelets Transform on a Xilinx FPGA Circuit to Medical Images Compression. ICDIP 2009: 8-12 - 2008
- [c1]Fatiha Alim-Ferhat, Hamid Bessalah, Hassen Salhi, S. Seddiki, Mohamed Issad, Oussama Kerdjidj:
WT-SOM network implementation on FPGA for the medical images compression. CSTST 2008: 464-468
Coauthor Index
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