Enhanced Deep Learning Models for Efficient Stroke Detection Using MRI Brain Imagery

Deep learning models are widely used for solving problems in different applications. Especially Convolutional Neural Network (CNN) based found suitable medical image analysis. As brain stroke is increasing alarming rate, it essential to have better approaches detect time. Brain MRI one of the imaging technologies imaging.we proposed certain advancements well-known deep like VGG16, ResNet50 and DenseNet121 enhancing detection performance. These optimized on problem hand as they not specialized a specific problem. We an algorithm, named Efficient Stroke Detection (ESD), that exploids enhanced pipeline. The experimental results revealed there performance improvement with models. Highest accuracy achieved by 95.67%.