Pr. Othmane EL MESLOUHI

Professor in computer sciences ( ENSA, Cadi Ayyad University, Morocco)

Speaker n°4: Pr. Othmane EL MESLOUHI

Short Biography: Pr. Othmane EL MESLOUHI is a Full Professor at the National School of Applied Sciences (ENSA) in Safi, part of Cadi Ayyad University. He earned his Ph.D. in Computer Science from the Faculty of Sciences and Techniques of Settat.

Since beginning his academic career in 2013, he has been actively involved in research and the supervision of Ph.D. candidates and final-year projects. His research focuses on Quantum Machine Learning, Deep Learning, Pattern Recognition, Medical Imaging, and Computer Vision.”

Title: “ Beyond the Classical: From Feature Engineering to the Era of Quantum Machine Learning in Medical Imaging”

Abstract: The history of medical image processing is a relentless quest to extract meaning from complex data. Historically, this field has been dominated by explicit feature engineering (hand-crafted features). For decades, the performance of computer-aided diagnosis systems relied on the robustness of mathematical descriptors such as SIFT detectors or Harris corner detectors. While foundational, these methods required considerable human expertise to model relevant characteristics and often lacked generalization capabilities in the face of biological variability.