Disagreement attention: Let us agree to disagree on computed tomography segmentation
“During the last decade, Deep Learning (DL) has achieved remarkable results on medical datasets when performing tasks like classification, segmentation, object detection, among others. The research on semantic segmentation has led to several Neural Networks (NNs) specialising in creating high-quality masks. The UNet [1] and Deeplab [2] are the most popular. Both are based on Convolutional Neural Networks (CNN) and have been intensively studied and developed for the last seven years.” Read More