An Efficient Brain Tumor Segmentation and Classification Framework Using Recurrent Unet + + and Adaptive Inception Net with Exponential Tanh Function
Globally, brain cancer disease classification is one of the complex challenges for medical treatment and diagnosis using clinical image analysis. The existing techniques faced problems in handling unclear boundaries and critical tumor shapes, resulting in outcome variability. Often, these models depend on handcrafted f...