Leveraging CNN for Automated Lesion Detection in Stroke MRI Scans

In recent years, more and more people have used neural network training to predict stroke lesions. In the field of images, the performance has been improved by using large models for training. Manual identification of stroke lesions may lead to inaccurate prediction and high error rate. By constructing basic CNN model, it can greatly help doctors to predict lesions. The aim of this study is to explore the influence of CNN model performance on focal image recognition.