Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

It is difficult to develop an accurate algorithm to detect the stroke lesions using magnetic
resonance imaging (MRI) images due to variation in different lesion sizes, variation in …

The ecosystem health risk assessment of lake basins can provide a crucial foundation and
support for the sustainable development of ecosystems in the arid regions of northern China …

The gravity of ischemic stroke is the key factor in deciding upon the optimum therapeutic
intervention. Ischemic stroke can be divided into three main groups: lacunar syndrome …

Purpose One of the challenging issues in computer vision and pattern recognition is face
image recognition. Several studies based on face recognition were introduced in the past …

With the leaps and bounds of computer performance and the advent of the era of big data,
deep learning has drawn more and more attention from all walks of life. It can combine low …

We propose an approach leveraging the power of self-organizing maps (SOMs) in
conjunction with a multiscale local image fitting (LIF) level-set function to enhance the …

Splitting the image into mutually exclusive regions is referred to as image segmentation. The
demarcation, portrayal, and cognitive imaging of expanses of preference in any MR images …

Although the RGB space is accepted to represent colors, it is not adequate for color
processing. In related works the colors are usually mapped to other color spaces more …

Deep learning has emerged to be efficient Artificial Intelligence (AI) phenomena to solve
problems in healthcare industry. Particularly Convolutional Neural Network (CNN) models …