In this paper, the authors proposed a fully convolutional neural network architecture for biomedical image segmentation which overcame the limitations of the contemporary algorithms. Unlike other ...

The field of image synthesis has experienced remarkable advancements, thanks to exponential growth in computing power and innovative algorithm development. One of the latest groundbreaking methods is ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...