A5086179903- AI in cancer detection
- Image Retrieval and Classification Techniques
- Gene expression and cancer classification
- Image and Signal Denoising Methods
- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
- Infrared Thermography in Medicine
- Music Technology and Sound Studies
- Immunotherapy and Immune Responses
- Music and Audio Processing
- Image Processing Techniques and Applications
- Artificial Intelligence in Healthcare
- Traffic Prediction and Management Techniques
- Image Enhancement Techniques
- Traffic control and management
- Medical Image Segmentation Techniques
- Bayesian Methods and Mixture Models
- Welding Techniques and Residual Stresses
- Speech and Audio Processing
- vaccines and immunoinformatics approaches
- Vehicle emissions and performance
- Surface Roughness and Optical Measurements
- Advanced Image Fusion Techniques
University of Sfax
2014-2025
Digital Research Centre of Sfax
2022-2024
National Engineering School of Tunis
2021-2022
Traffic congestion affects quality of life by inducing frustration and wasting time. The is also critical to vehicles with high emergencies such as ambulances or police cars. This leads additional CO2 emissions. management requires the accurate modeling levels. Two main observable parameters identify state a city: vehicle speed density. Congestion has an intuitive definition rather than quantitative one, associated disorder randomness occurring in traffic parameters. Therefore, statistical...
Microcalcifications are small deposits of calcium accumulated in breast tissue. They situated higher gray level regions, with a very short dynamic range. Besides, they have size low contrast compared to the surrounding All these characteristics make micro-calcification's preprocessing crucial task. In this paper, we propose new approach for enhancing microcalcifications digitized mammogramdigitized mammogram, emphasizing corresponding details. Accordingly, an adaptive exponential function...
Microcalcifications are tiny deposits of calcium located in breast tissue. They appeared as very small highlighted regions comparaison with their surrounding The difference contrast between microcalcifications and the normal tissue depend on density: more is dense, less contrast. In this context, we propose to enhance details for each type density using methods. As know that BIRADS/ACR 4 contains dense breast, That's why have proposed make Non Linear Stratching (NLS)automatic by applying an...
Microcalcifications are very tiny deposits of calcium allocated in the breast tissue. Their gray level is similar to dense normal tissue so its difficult differentiate between them. Once detected, malign end benign microcalcifications. In this paper, we apply a new method extract features microcalcifications order classify them into and benign. This technique, called Discriminative Completed Local Binary Pattern (DisCLBP), extracts texture characteristics characterize severity Classification...
Breast cancer early diagnosis is a major concern for reducing deadly cases. Automation of microcalcification detection becoming increasingly important given their tiny scale. At this step, high false negative rate observed, leading to ambiguity. In context, conventional approaches are unable handle such Possibility theory offers powerful paradigm enabling uncertainty level. Therefore, in research,new possibilistic modeling strategy proposed. The developed system based on k-means clustering...
Dendritic cells can be seen as a mirror of our immune system. Based on their in virto analysis, biological experts are now able to study the impact food contaminants human Accordingly, visual characterization dendritic cell morphology provide an indirect estimation toxicity. In this paper, we propose automatic classification that could serve second non-subjective opinion for pathologists. The proposed approach is built pre-processing steps segmentation and detection microscopic images. Then,...
The aim of this paper is to develop an efficient breast cancer Computer Aided Diagnosis (CAD) system allowing the analysis different tissues in mammograms and performing textural classification (normal, mass or microcalcification). Although several feature extraction algorithms for have been used, findings concerning tissue characterization show no consensus literature. Specifically, challenge may be great microcalcification detection on dense breasts. proposed based development a new...