This article has proposed an intelligent knowledge driven method to segment hemorrhage
from brain CT images using the information of pixel intensity population and distribution. A …

Computed Tomography (CT) imaging is one of the conventional tools used to diagnose
ischemic in Posterior Fossa (PF). Radiologist commonly diagnoses ischemic in PF through …

This article presents an unsupervised method for segmenting brain computed tomography
scans. The proposed methodology involves image feature extraction and application of …

Purpose PET/CT and MRI can accurately diagnose dementia but are expensive and
inconvenient for patients. Therefore, we aimed to generate synthetic fluid-attenuated …

Window setting in CT brain images is the crucial pre-processing step to examine the
abnormalities for diagnosing disease. Recently, many methods have been proposed to …

The diagnosis of ischemic stroke in Posterior Fossa (PF) using conventional Computed
Tomography (CT) is limited. Meanwhile, the identification of PF slices in CT is a very …

Most of the recent study about deep learning in medical images have revolved the ability of
deep learning models to interpretation of diagnostic result and anatomical recognition …

In modern days, Non-Contrast Computed Tomography (NCCT) is one of the imaging
modalities. It performs well in detecting bleeding and tumors in brain images, but less …

Ischemic stroke is triggered by an obstruction in the blood vessel of the brain, preventing the
blood to flow to the brain tissues region. Solving this is extremely beneficial as Non …