Collaborative filters perform denoising through transform-domain shrinkage of a group of
similar patches extracted from an image. Existing collaborative filters of stationary correlated …

Purpose This study aimed to acquire an image quality consistent with that of full-dose chest
computed tomography (CT) when obtaining low-dose chest CT images and to analyze the …

Abstract 3D modeling is a crucial step in computer-aided diagnosis and virtual surgery.
Current deep learning-based 3D organ modeling requires the collection of large datasets …

Integrated circuits based on digital image processing have been increasingly important in
recent years due to their usefulness in many different fields, including manufacturing …

We propose a method for minimizing global buffer access within a deep learning accelerator
for convolution operations by maximizing the data reuse through a local register file, thereby …

The spreadability of large and diverse computer graphics applications, highly powerful and
diversified programmable hardware platforms, rapid advances in their programing …

This study aimed to acquire an image quality consistent with that of full-dose chest computed
tomography (CT) when obtaining low-dose chest CT images and to analyze the effects of …