Classification of Brain Autoimmune Diseases using Deep Learning: A Predictive Approach
M Shivanii, K Madhumetha, M. Poornima · 2025
Autoimmune brain conditions such as pituitary, meningioma, glioma are some of the present challenges in early diagnosis due to their complexities and image characteristics. The proposed system, Autoimmune Disease Detection in the Brain- Deep Learning (AIDB-DL) is built over four stages: early, intermediate, advanced and late. By using deep learning techniques, AIDB-DL identifies imaging biomarkers and unique patterns to each conditions. AIDB-DL uses data pre-processing techniques to handle issues such as noise and other unwanted characteristics which gave a demonstrated accuracy of 91%, facilitating precise classification and supporting personalized treatment planning thereby having a significant advancement in precise medicine and paving way for global improvements in brain healthcare.