This research explores medical image processing and analysis techniques for detecting Giant Cell Arteritis, focusing on computational algorithms for image enhancement and extraction of pathological features. It highlights the importance of integrating image analysis and artificial intelligence approaches to support early diagnosis and improve clinical assessment accuracy.
