Segmentation remains a necessary step in medical imaging to obtain qualitative measurements
such as the location of objects of interest as well as for quantitative measurements such …

Epilepsy is a common neurological condition which affects the central nerve system that
causes people to have a seizure and can be assessed by electroencephalogram (EEG). A …

There are numerous neurological disorders such as dementia, headache, traumatic brain
injuries, stroke, and epilepsy. Out of these epilepsy is the most prevalent neurological disorder …

In medical images noise and artifacts are introduced due to the acquisition techniques and
systems. Due to the noise present in the medical images, experts may not be able to draw …

Intracranial hemorrhage (ICH) detection is the primary task for the patients suffering from
neurological disturbances and head injury. This paper presents a segmentation technique that …

This paper presents an integrated segmentation method which combines the features of
Fuzzy C-Mean (FCM) clustering and region-based active contour method. In the proposed …

In this paper, multiresolution local binary pattern (MRLBP) variants based texture feature
extraction techniques have been proposed to categorize hardwood species into its various …

Purpose Manual analysis of EEG signals by an expert is very much time consuming due to
the long length of EEG recordings. The suitable computerized analysis is essentially required …

In this paper, an approach for the classification of different hardwood species of open access
database, using texture feature extraction and supervised machine learning technique has …

There are numerous types of mental and neurological disorder where the electroencephalogram
(EEG) data size is too long and requires a long time to observe the data by clinician. …