The largest white matter structure in the brain, the corpus callosum (CC), is involved in many
disorders of the central nervous system. The extent and/or severity of neurodegenerative …

Brain skull stripping is an essential step before performing the segmentation. It leads to
better performance and less computational load on the model due to the elimination of …

During the COVID‐19 pandemic, huge interstitial lung disease (ILD) lung images have been
captured. It is high time to develop the efficient segmentation techniques utilized to separate …

Objective. Eye-tracking research has proven valuable in understanding numerous cognitive
functions. Recently, Frey et al provided an exciting deep learning method for learning eye …

Autism Spectrum Disorder is a condition characterized by a typical brain development
leading to impairments in social skills, communication abilities, repetitive behaviors, and …

Marching cubes is the most widely used isosurface algorithm for 3D reconstruction. For the
case study, this paper used medical data from an MRI of brain images, especially in the …

While tuberculosis (TB) is a deadly disease, the coronavirus (COVID-19) has caused more
rapid death since its discovery in 2019. Studies have shown that the recovery rate of COVID …

The development of an image-based brain image segmentation system using UNet has the
advantages of a network that does not contain a fully contained layer. These steps have …

Blindness refers to a condition in which an individual experiences limitations in their visual
ability. Individuals with visual impairments require specific assistance to facilitate their …

Background and objective Quantitatively detailed WBTS is a very important role in brain
image analysis and non-invasive automatic identify of brain regions. Massive input training …