Lotfi Tlig

Orcid: 0000-0001-7691-3605

According to our database1, Lotfi Tlig authored at least 16 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Enhanced Deep Learning Framework for Automatic MRI Brain Tumor Segmentation with Data Augmentation.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
Ugly Duckling Concept for Melanoma Detection: A PCA-Based Outlier Detection Method with CNN-Based Feature Vectors.
Proceedings of the 9th International Conference on Control, 2023

2022
Extracting Color Name Features Utilized for Skin Disease Characterization and Comparing It to Other Representations Describing the ABCD Dermatological Criteria for Melanoma Inspection.
Proceedings of the Information and Communication Technologies for Ageing Well and e-Health, 2022

A Supervised Quantification of the Color Names Characterizing the Visual Component Color in the ABCD Dermatological Criteria for a Further Melanoma Inspection.
Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2022

Selection of statistic textural features for skin disease characterization toward melanoma detection.
Proceedings of the 8th International Conference on Control, 2022

2020
A Fast Segmentation Method for Fire Forest Images Based on Multiscale Transform and PCA.
Sensors, 2020

Neural Network-based System for Automatic Passport Stamp Classification.
Inf. Technol. Control., 2020

Logo Detection Based on FCM Clustering Algorithm and Texture Features.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

Melanoma skin cancer detection using deep learning and classical machine learning techniques: A hybrid approach.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2018
An advanced intelligent ELISA test for bovine tuberculosis diagnosis.
Biomed. Signal Process. Control., 2018

2016
Administrative document segmentation based on texture approach and fuzzy clustering.
Proceedings of the International Image Processing, Applications and Systems, 2016

A comparative study applied to dynamic textures segmentation.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015
Skin lesion segmentation using the D-S evidence theory based on the FCM using feature parameters.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

A new approach based on the serological tests for the diagnosis of tuberculosis in cattle.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

2012
A new fuzzy segmentation approach based on S-FCM type 2 using LBP-GCO features.
Signal Process. Image Commun., 2012

2010
A new descriptor for textured image segmentation based on fuzzy type-2 clustering approach.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010


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