بعد أكاديمية كاوست
Khalid graduated in information technology from King Abdulaziz University in 2025. The graduation project, an AI platform that supports radiologists in diagnosing brain disease, was presented at the faculty's poster day.
المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2024
Detection of Brain Disease Using Advanced Deep Learning Model
An AI-powered website has been developed to provide diagnostic services for brain diseases using MRI scans, focusing on Tumor Detection, Alzheimer’s Disease Diagnosis, and Multiple Sclerosis Detection. The platform enables users to upload brain images for immediate analysis. The Tumor Detection module employs the Efficiency Net86 model to classify MRI images into glioma, meningioma, pituitary tumors, or no tumor. Alzheimer’s Disease module, utilizing a modified AlexNet, categorizes images into five stages, from Non-Demented to Severe Demented, with an estimation of disease progression. The Multiple Sclerosis module utilizes a modified AlexNet to identify brain lesions and determine whether the scan is positive or negative for multiple sclerosis. The integration of advanced models and a robust dataset ensures precise, reliable diagnostics, aiding in the early detection and management of brain diseases.
مع أكاديمية كاوست
- دفعة 2024
جامعة الملك عبدالله للعلوم والتقنية (كاوست) · المدرسة الصيفية للذكاء الاصطناعي
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