A malignant tumor in brain is detected using images from Magnetic Resonance scanners.
Malignancy detection in brain and separation of its tissues from normal brain cells allows to …

Until today, researchers have introduced a range of methodologies to decrease the noise
effect on medical images. In the proposed approach, an adapted deep convolutional neural …

Thermal imaging is a non-destructive, non-contact and rapid system. It reports temperature
through measuring infrared radiation emanated by an object/material surface. Automated …

For optimal computer vision outcomes, attention to image pre-processing is required so that
one can improve image features by eliminating unwanted falsification. This book …

Online portals provide an enormous amount of news articles every day. Over the years,
numerous studies have concluded that news events have a significant impact on forecasting …

Artificial intelligence is the outlet of computer science apprehensive with creating computers
that perform as humans. It compromises expert systems, playing games, natural language …

Hepatic granuloma develops in the early stage of liver cirrhosis which can seriously injury
liver health. At present, the assessment of medical microscopic images is necessary for …

Background: To reduce the intensity of the work of doctors, pre-classification work needs to
be issued. In this paper, a novel and related liver microscopic image classification analysis …

Work-life balance helps to maintain an attractive organizational culture and remove work-life
conflicts and show the path to employees of how to be more efficient in different work roles …

This paper proposes an improved denoising method based on the cascaded arrangement of
filters. The different combinations of filters are obtained optimally through the improved …