Computer Vision-Based Stroke Lesion Detection and Prognosis Prediction Using Deep Learning
In this paper, a novel hybrid Swin Transformer and convolutional neural network (CNN) encoder-decoder, called StrokeDL-Net, is proposed for accurate multimodal brain MRI lesion segmentation and a temporal multi-modal fusion network, called ProgNet, is proposed for 90-day functional outcome prediction via the modified R...