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2020 – today
- 2024
[c12]Ekram Chamseddine, Lotfi Tlig, Mounir Sayadi:
Enhanced Deep Learning Framework for Automatic MRI Brain Tumor Segmentation with Data Augmentation. ATSIP 2024: 409-413- 2023
- [c11]Jinen Daghrir, Lotfi Tlig, Moez Bouchouicha, Noureddine Litaiem, Faten Zeglaoui, Mounir Sayadi:
Ugly Duckling Concept for Melanoma Detection: A PCA-Based Outlier Detection Method with CNN-Based Feature Vectors. CoDIT 2023: 1055-1061 - 2022
- [c10]Jinen Daghrir
, Lotfi Tlig, Moez Bouchouicha, Noureddine Litaiem, Faten Zeglaoui, Mounir Sayadi:
Selection of statistic textural features for skin disease characterization toward melanoma detection. CoDIT 2022: 261-267 - [c9]Jinen Daghrir, Lotfi Tlig, Moez Bouchouicha, Eric Moreau, Noureddine Litaiem, Faten Zeglaoui, Mounir Sayadi:
Extracting Color Name Features Utilized for Skin Disease Characterization and Comparing It to Other Representations Describing the ABCD Dermatological Criteria for Melanoma Inspection. ICT4AWE (Revised Selected Papers) 2022: 17-34 - [c8]Jinen Daghrir, Lotfi Tlig, Moez Bouchouicha, Noureddine Litaiem, Faten Zeglaoui, Mounir Sayadi:
A Supervised Quantification of the Color Names Characterizing the Visual Component Color in the ABCD Dermatological Criteria for a Further Melanoma Inspection. ICT4AWE 2022: 147-154 - 2020
- [j4]Wala Zaaboub, Lotfi Tlig, Mounir Sayadi, Basel Solaiman:
Neural Network-based System for Automatic Passport Stamp Classification. Inf. Technol. Control. 49(4): 583-607 (2020) - [j3]Lotfi Tlig, Moez Bouchouicha, Mohamed Tlig, Mounir Sayadi, Eric Moreau:
A Fast Segmentation Method for Fire Forest Images Based on Multiscale Transform and PCA. Sensors 20(22): 6429 (2020) - [c7]Jinen Daghrir, Lotfi Tlig, Moez Bouchouicha, Mounir Sayadi:
Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach. ATSIP 2020: 1-5 - [c6]Wala Zaaboub, Lotfi Tlig, Mounir Sayadi, Basel Solaiman:
Logo Detection Based on FCM Clustering Algorithm and Texture Features. ICISP 2020: 326-336
2010 – 2019
- 2018
- [j2]Hanene Sahli, Aymen Mouelhi, Mohamed Fethi Diouani, Lotfi Tlig, Amira Refai, Ramzi Boubaker Landoulsi, Mounir Sayadi, Makram Essafi:
An advanced intelligent ELISA test for bovine tuberculosis diagnosis. Biomed. Signal Process. Control. 46: 59-66 (2018) - 2016
- [c5]Hanene Sahli, Lotfi Tlig, Ahmed Zaafouri, Mounir Sayadi:
A comparative study applied to dynamic textures segmentation. ATSIP 2016: 217-222 - [c4]Wala Zaaboub, Lotfi Tlig, Mounir Sayadi:
Administrative document segmentation based on texture approach and fuzzy clustering. IPAS 2016: 1-6 - 2015
- [c3]Hanene Sahli, Mohamed Fethi Diouani, Lotfi Tlig, Makram Essafi, Mounir Sayadi:
A new approach based on the serological tests for the diagnosis of tuberculosis in cattle. SSD 2015: 1-6 - [c2]Olfa Trabelsi, Lotfi Tlig, Mounir Sayadi, Farhat Fnaiech:
Skin lesion segmentation using the D-S evidence theory based on the FCM using feature parameters. SSD 2015: 1-5 - 2012
- [j1]Lotfi Tlig, Mounir Sayadi, Farhat Fnaiech:
A new fuzzy segmentation approach based on S-FCM type 2 using LBP-GCO features. Signal Process. Image Commun. 27(6): 694-708 (2012) - 2010
- [c1]Lotfi Tlig, Mounir Sayadi, F. Fnaeich:
A new descriptor for textured image segmentation based on fuzzy type-2 clustering approach. IPTA 2010: 258-263
Coauthor Index
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last updated on 2024-09-07 01:01 CEST by the dblp team
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