Brain tumor segmentation consists of separating the different tumor tissues (solid or active
tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM) …

Diagnosis of neurological diseases is a growing concern and one of the most difficult
challenges for modern medicine. According to the World Health Organisation's recent report …

One of the most crucial tasks in any brain tumor detection system is the isolation of abnormal
tissues from normal brain tissues. Interestingly, domain of brain tumor analysis has …

This study uses self-organizing maps (SOM) to examine the effect of various psychographic
and cognitive factors on green consumption in Kuwait. SOM is a machine learning method …

Brain imaging techniques play an important role in determining the causes of brain cell
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …

Automatic brain tumour segmentation has become a key component for the future of brain
tumour treatment. Currently, most of brain tumour segmentation approaches arise from the …

Due to the advancements in the lifestyle, stress builds enormously among individuals. A few
recent studies have indicated that stress is a major contributor for infertility and subsequent …

Brain tumor analysis plays an important role in medical imaging applications and in
delivering a huge amount of anatomical and functional information, which increases and …

Cell mechanical properties have been proposed as label free markers for diagnostic
purposes in diseases such as cancer. Cancer cells show altered mechanical phenotypes …

Background Early detection of asbestosis is important; hence, quick and accurate diagnostic
tools are essential. This study aimed to develop an algorithm that combines lung …