The College of Computer Science at the University of Technology discussed a master dissertation on the detection of aneurysms using multi-feature techniques in conjunction with deep learning by the postgraduate student, Ms. Noor Hussein Ali.
The dissertation aimed at developing a comprehensive system for the automated detection of intracranial aneurysms by integrating five key stages; preprocessing, artificial mask generation, attention-based segmentation, hybrid feature extraction, and classification.
The dissertation confirmed that the proposed system achieved robust classification results based on the findings obtained compared to previous studies, the proposed system demonstrates superior performance, particularly in segmentation accuracy, sensitivity, and the integration of manual and deep features.
Contact us for any inquiries about the services provided by the Ministry of Higher Education and Scientific Research
