AI-Driven Medical Image Segmentation for Early Tumor Identification in MRI Scans
In this paper, a Hybrid Residual Attention Transformer U-Net (HRAT-UNet) model is proposed to solve the problem of accurate and interpretable brain tumor segmentation. In the proposed framework author have implemented Adaptive Frequency-Spatial Normalization (AFSN) with the aim of improving tumor-specific spectral feat...