This article discusses a new deep learning framework, called MADR-Net, designed to improve the performance of medical image segmentation. It uses a combination of…
Browsing: Medical Image Segmentation
This article discusses the use of deep learning models in medical image segmentation, specifically focusing on the ATLAS dataset and comparing transformer and CNN…
This Special Issue aims to present the latest research developments in machine learning applied to biomedical image analysis. The topics of interest include but…
A group of scientists from MIT and the MIT-IBM Watson AI Lab have developed a groundbreaking AI model, EfficientViT, that has the potential to…
This article discusses the use of convolutional neural networks (CNNs) in medical image segmentation. It elaborates on the definition of graph in graph depth…
This article presents a bidirectional meta-Kronecker factored optimizer (BM-KFO) framework to quickly optimize semantic segmentation tasks using just a few magnetic resonance imaging (MRI)…
This article discusses the use of deep learning in medical image segmentation and provides an overview of some of the recent semi-supervised medical image…