Ensemble learning and computer vision for BC imaging classification, - Benguerir
Company sector : Education / Training
COMPANY :
Située au cœur de la future Ville Verte Mohammed VI à Ben Guérir, l’Université Mohammed VI Polytechnique (UM6P), institution d’enseignement supérieur à vocation internationale, est engagée pour un système éducatif basé sur les plus hauts standards en matière d’enseignement et de recherche dans des domaines cruciaux pour le développement économique durable du Maroc et plus largement de l’Afrique.
Notre jeune université construit un réseau académique international de renom et souhaite s’appuyer sur un corps enseignants-chercheurs de très haut niveau. Elle offre d’ores et déjà un cadre de vie et d’étude de grande qualité grâce à ses infrastructures de pointe.
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Company culture :
UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.
Job :
Mission:
The main objective of the graduation project is to implement a hybrid architecture with deep learning techniques to extract the important features of the Breast cancer medical imaging, and machine learning classifiers for a binary classification. The steps of the project will be:
• Image processing using histopathology breast cancer dataset
• Deep Learning architectures for feature extraction
• Ensemble techniques for BC classification
• Statistical techniques for results interpretation The final project will be presented as a web application using Python.
Data Science Technologies: Keras and Tensorflow for deep learning, Scikit learn for machine learning, OpenCV for image processing Web development Technologies: Dash package and Flask framework (Backend) / CSS, JS and jQuery, Bootstrap (Frontend) Keywords: Deep Learning, Machine Learning, Image processing
Supervisors: Pr. Ali Idri, Hasnae Zerouaoui
Lab: MSDA (modeling, simulation and data analysis) at UM6P, Ben Guerir
Number of positions available: 2 Researched Profile: Bac+5, Data science, Computer science.
Required profile :
Graduation project PFE
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