Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for
clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably …

Video data have become the main data traffic on the Internet, and their traffic is increasing
explosively every year, thus increasing the pressure of video transmission. Video coding …

One of the challenges facing the adoption of digital pathology workflows for clinical use is
the need for automated quality control. As the scanners sometimes determine focus …

High efficiency video coding (HEVC) greatly outperforms previous standards H. 264/AVC in
terms of coding bit rate and video quality. However, it does not take into account the human …

As one of the most studied areas, telemedicine allows doctors and pathologists to share
their intelligence all over the world. To achieve the highest efficiency of remote pathology …

In predictive transform video coding, optimal bit allocation and quantization parameter (QP)
estimation are important to control the bit rate of blocks, frames and the whole sequence …

Online collaborative tools for medical diagnosis produced from digital pathology images
have experimented an increase in demand in recent years. Due to the large sizes of …

In this paper, we propose a novel perceptual-based intra coding optimization algorithm for
the High Efficiency Video Coding (HEVC) using deep convolution networks (DCNs) …

Coded targets have been widely used as a type of active visual feature points in fields such
as close-range photogrammetry, robot navigation, 3D reconstruction, and augmented reality …

Image segmentation being an important aspect of computer systems, graph theory provides
the most elemental way of representing various parts of an image into mathematical …