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messadi mahammed
messadi mahammed
maitre de conférences, Université de Tlemcen
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Improvement of the hard exudates detection method used for computer-aided diagnosis of diabetic retinopathy
F Amel, M Mohammed, B Abdelhafid
International Journal of Image, Graphics and Signal Processing 4 (4), 19, 2012
562012
Extraction of specific parameters for skin tumour classification
M Messadi, A Bessaid, A Taleb-Ahmed
Journal of medical engineering & technology 33 (4), 288-295, 2009
522009
Segmentation and ABCD rule extraction for skin tumors classification
M Messadi, H Cherifi, A Bessaid
arXiv preprint arXiv:2106.04372, 2021
452021
Decision tree CART algorithm for diabetic retinopathy classification
EZ Aziza, LM El Amine, M Mohamed, B Abdelhafid
2019 6th International Conference on Image and Signal Processing and their …, 2019
312019
Detection of blood vessels from retinal images using watershed transformation
A Bessaid, A Feroui, M Messadi
Journal of Mechanics in Medicine and Biology 9 (04), 633-642, 2009
222009
Interpretable aide diagnosis system for melanoma recognition
M Messadi, M Ammar, H Cherifi, MA Chikh, A Bessaid
Journal of Bioengineering & Biomedical Science 4 (1), 1-7, 2014
132014
New segmentation methodology for exudate detection in color fundus images
A Feroui, M Messadi, I Hadjidj, A Bessaid
Journal of Mechanics in Medicine and Biology 13 (01), 1350014, 2013
102013
Blood vessel segmentation using deep learning architectures for aid diagnosis of diabetic retinopathy
ZA Elaouaber, A Feroui, MEA Lazouni, M Messadi
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2023
62023
New algorithm for fractal dimension estimation based on texture measurements: Application on breast tissue characterization
K Khemis, SA Lazzouni, M Messadi, S Loudjedi, A Bessaid
International Journal of Image, Graphics and Signal Processing 8 (4), 9, 2016
52016
Efficient detection of micro-aneurysms in retinal images for early diagnosis of diabetic retinopathy
A Feroui, M Messadi, A Lazouni, A Bessaid
Journal of Mechanics in Medicine and Biology 17 (08), 1750108, 2017
42017
New characterization methodology for skin tumors classification
M Messadi, A Bessaid, A Taleb-Ahmed
Journal of Mechanics in Medicine and Biology 10 (03), 467-477, 2010
42010
Segmentation of dermatoscopic images used for computer-aided diagnosis of melanoma
M Messadi, A Bessaid, A Taleb-Ahmed
Journal of Mechanics in Medicine and Biology 10 (02), 213-223, 2010
32010
Left ventricle analysis in echocardiographic images using transfer learning
H Belfilali, F Bousefsaf, M Messadi
Physical and Engineering Sciences in Medicine 45 (4), 1123-1138, 2022
22022
Analysis of specific parameters for skin tumor classification
M Messadi, S Mahmoudi, A Bessaid
Journal of Mechanics in Medicine and Biology 22 (04), 2250017, 2022
22022
Development and clinical validation of a hybrid method for semiautomated left ventricle endocardial and epicardial boundary extraction on cine-magnetic resonance images
M Messadi, A Bessaid, D Mariano-Goulart, FB Bouallègue
Journal of Medical Imaging 5 (2), 024002-024002, 2018
22018
Segment ation and ABCD rule ext ract ion for skin t umors classification
M Mahammed, C Hocine, B Abdelhafid
Journal of Convergence Information Technology (JCIT) 9 (2), 2014
22014
Mammograms enhancement based on multifractal measures for microcalcifications detection
NK Serradj, S Lazzouni, M Messadi
International Journal of Biomedical Engineering and Technology 41 (1), 60-82, 2023
12023
New methodology based on images processing for the diabetic retinopathy disease classification
I Bensmail, M Messadi, A Feroui, A Lazouni, A Bessaid
International Journal of Biomedical Engineering and Technology 39 (2), 170-187, 2022
12022
Digital mammograms analysis using fractal and multifractal methods
NK Serradj, S Lazzouni, M Messadi
2019 6th International Conference on Image and Signal Processing and their …, 2019
12019
Left ventricular Analysis Method in Cardiac Cine MRI
DY Sarra, M Mohamed, B Abdelhafid
2019 6th International Conference on Image and Signal Processing and their …, 2019
12019
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