Bio-Medical Image Segmentation And Detection For Brain Tumour And Skin Lesions Diseases Through U-NET

The research concentrates on enhancing the precise identification and localization of diseases within medical images, a pivotal component of medical imaging analysis crucial for diagnoses and treatment planning. Employing the U-Net architecture, renowned for its effectiveness in biomedical image segmentation, the study targets the detection of brain tumors and skin lesions in MRI or CT scans. Remarkably, the proposed method not only identifies diseases but also provides intricate details regarding their dimensions and spatial arrangement. Extensive experimental validation showcases the method's superiority over existing approaches, underscoring its potential for holistic learning in medical image analysis.