Abstract Image restoration is a long-standing problem in image processing and low-level computer vision. Recently, discriminative convolutional neural network (CNN)-based approaches have attracted considerable attention due to their superior performance. […]
A Flexible Deep CNN Framework for Image Restoration Read More »
Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
Abstract Most of the existing medical image denoising methods focus on estimating either the image or the residual noise. Moreover, they are usually designed for one specific noise with a
ABSTRACT Acquirers, system builders, and other stakeholders of big data systems need to define requirements, develop and evaluate solutions, and integrate systems together. A reference architecture enables these software engineering
A Reference Architecture for Big Data Systems in the National Security Domain Read More »
