Image segmentation is a key task in computer vision and image processing with important
applications such as scene understanding, medical image analysis, robotic perception …

Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

Human action recognition has recently become one ofthe popular research topics in the
computer vision community. Various 3D-CNN based methods have been presented to tackle …

Recent state-of-the-art image segmentation algorithms are mostly based on deep neural
networks, thanks to their high performance and fast computation time. However, these …

Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

Deep learning (DL) has become widely used for medical image segmentation in recent
years. However, despite these advances, there are still problems for which DL-based …

Abstract Background and Objective Brain tumor segmentation is a challenging issue due to
noise, artifact, and intensity non-uniformity in magnetic resonance images (MRI). Manual …

Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

The inhomogeneity of images is always a challenge in the field of image segmentation.
Aiming at the problem of segmentation and correction of inhomogeneous images, this paper …

Deep neural networks have been widely used in numerous computer vision applications,
particularly in face recognition. However, deploying deep neural network face recognition on …