بحوث طلبة جامعة ميسان | المشرف: | م.م احمد ماجد |
|---|---|
| اسم الطالب: | Ahmed Salim Raheem |
| الطالب الثاني: | Haider Shaker Esmail |
| third_student: | Maryam Muhammad Abdel Nabi |
| fourth_student: | Hussein Ali Abboud |
| fifth_student: | |
| العنوان: | Deep Learning-Based Intelligent Model for Automated Detection and Classification of Lumbar Spine Diseases using MRI images |
| الوصف: | This study presents a comprehensive deep learning framework for the automatic classification of lumbar spine diseases using magnetic resonance imaging (MRI). The goal is to reduce the dependency on manual image interpretation by radiologists, which can be time-consuming and prone to subjectivity. Leveraging a dataset of over 170,000 annotated MRI slices, we evaluated multiple state-of-the-art convolutional neural network (CNN) architectures, including InceptionV3, Xception, VGG16, NASNetLa |
| ملف المشروع: | 6yav5xhlju24f3z.pdf |
| السنة: | 2025 |
| الكلية: | كلية الهندسة |
| القسم: | الهندسة الكهربائية |
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