The brain tumor is one of the deadliest cancerous diseases and its severity has turned it to
the leading cause of cancer related mortality. The treatment procedure of the brain tumor …

This paper introduces an intelligent computational approach to automatically authenticate
fingerprint for personal identification and verification. The feature vector is formed using …

Segmentation and classification of ultrasonic breast images is extremely critical for medical
diagnosis. Over the last years, various techniques have already been presented for this …

The study proposes a novel approach to automate classifying Chest X-ray (CXR) images of
COVID-19 positive patients. All acquired images have been pre-processed with Simple …

Aims The objective of this work is to investigate whether changes in bladder pressure's
patterns can be used to forecast voiding events in rats with both normal and overactive …

Multispectral (MS) images, which display spectral and spatial information, play a vital role in
remote sensing applications for analysing objects. This paper focuses on the spatial and …

A high-definition picture needs more storage space and occupies the memory. For a model
to run efficiently, we need to provide a good-quality image, but as we know, we should load …

Nowadays, the increasing volume of images is absolutely demanded in most of digital
image processing and analysis. It is observed that high-resolution or high-dimensional …

This article reviews the different techniques for recognizing facial expressions. First, it gives
a description of the emotions their types and the techniques to measure the emotions. Then …

The current paper presents an improvement of the Extreme Learning Machines for
VISualization (ELMVIS+) nonlinear dimensionality reduction method. In this improved …