The intelligent computer-aided diagnosis system is designed to detect Parkinson’s disease and identify the affected substantia nigra (SN) region in TCS (Transcranial Sonography) images of the brain. The system aims to localize the SN region and diagnose Parkinson’s disease, addressing the challenge faced by physicians in visually detecting the disease due to the subtle shrinkage of the SN region in these images. By leveraging deep learning algorithms, the system identifies relevant patterns and assists the medical team in diagnosing and detecting Parkinson’s disease, enabling appropriate treatment for patients.