Since the advent of U-Net, fully convolutional deep neural networks and its many variants
have completely changed the modern landscape of deep-learning based medical image …

For the object-based classification of high resolution remote sensing images, many people
expect that introducing deep learning methods can improve then classification accuracy …

Convolutional feature-based broad learning with long short-term memory (CBLSTM) is
proposed to recognize multidimensional facial emotions in human–robot interaction. The …

Hypoplastic left heart syndrome (HLHS) is a severe congenital heart defect in which the right
ventricle and associated tricuspid valve (TV) alone support the circulation. TV failure is thus …

Objective: Paraspinal muscle segmentation and reconstruction from MR images are critical
to implement quantitative assessment of chronic and recurrent low back pains. Due to …

Deep neural networks have been tremendously successful at segmenting objects in images.
However, it has been shown they still have limitations on challenging problems such as the …

The image segmentation scheme is proposed in this research article. It offers the determined
the certain images and grou** of images from colleague frame. In this research, the K …

The assessment of implant status and complications of Total Hip Replacement (THR) relies
mainly on the clinical evaluation of the X-ray images to analyse the implant and the …

Scientific efforts have expanded in age-invariant face recognition (AIFR). Matching faces of
large age difference is, therefore, a problem, mostly because of a substantial disparity in the …

Image matching for cross-modality is always a hotspot and difficulty in the unmanned aerial
vehicle (UAV) scene-matching visual navigation. Aiming at the problem of cross-modality …