Medical image synthesis is an emerging field that leverages advanced computational techniques to generate high-quality medical images from existing data. One of the most promising approaches in ...

I apply a convolutional neural network (CNN) to the task of classifying 5000 histological images of human colorectal cancer made available by Kather JN et al (2016), and taken from the Institute of ...

Deep neural networks have demonstrated impressive results in medical image analysis, but designing suitable architectures for each specific task is expertise dependent and time consuming. Neural ...

In this study, we formulate a boundary-aware context neural network (BA-Net) for 2D medical image segmentation to capture richer context and preserve fine spatial information, which incorporates ...

Medical Imaging,Batch Of Samples,Benefits Of Learning,Chest X-ray,Chest X-ray Images,Contrastive Loss,Deep Neural Network,Dice Loss,Dice Similarity Coefficient,Diverse Images,Domain Experts,Expert ...