A deep learning framework integrating MRI image preprocessing methods for brain tumor segmentation and classification
Glioma grading is critical in treatment planning and prognosis.This study aims to address this issue through MRI-based classification to develop an accurate model for glioma diagnosis.Here, we employed a deep learning pipeline with three essential steps: (1) MRI images were segmented using preprocessing approaches and UNet license plates architectu