Advanced Medical Image Processing and AI Model Development for Cancer Detection
Rime Jaghnane El Idrissi, is an international exchange student from CY Tech, Cergy Université, France, who is completing her four month research internship at University Metropolitan Tirana, part of the strong academic partnership between our institutions.
Rime is currently in her second year of the engineering cycle in Information Systems Engineering (ING 2 GSI) at CY Tech. Her research internship at UMT focuses on leveraging artificial intelligence (AI) to enhance medical imaging for improved diagnostic capabilities.
Research Focus
Rime’s internship project, titled “Advanced Medical Image Processing and AI Model Development for Cancer Detection,” explores cutting-edge techniques to support early detection of cancer, with a particular emphasis on mammographic images.
The aim of the project is to design and implement a comprehensive image analysis pipeline that integrates the following components:
- Preprocessing: Applying image enhancement and noise reduction techniques to improve image quality.
- Segmentation: Using deep learning models, particularly Convolutional Neural Networks (CNNs), to accurately segment anatomical regions of interest.
- Classification: Developing algorithms to identify and classify potential cancer indicators from segmented images.
By combining these elements, the project aspires to improve the accuracy and efficiency of AI-driven diagnostic tools, contributing to their integration into clinical workflows and ultimately enhancing patient care.
ResearchImpact and Goals
Through this internship, Rime aims to deliver:
- A well-documented, reproducible analysis pipeline for mammographic image evaluation.
- Trained and tested AI models demonstrating high performance on segmentation and classification tasks.
- A comprehensive report detailing both the theoretical underpinnings and the practical implementation of the methods used.
Her work represents an important step toward AI-assisted early cancer detection, helping pave the way for more reliable and scalable diagnostic support systems in healthcare.
Mentorship and Collaboration
Rime is working in close collaboration with UMT’s research team, under the mentorship of Anxhelo Shehu, PhD student, who provides guidance and technical expertise throughout the project. This internship exemplifies UMT’s commitment to fostering international collaboration and developing impactful research in the field of medical AI
