Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …

Stroke is a leading cause of disability and mortality worldwide, resulting in substantial
economic costs for post-stroke care each year. Neuroimaging, such as cranial computed …

Modern medical diagnosis utilizes techniques of visualization of human internal organs (CT,
MRI) or of its metabolism (PET). However, evaluation of acquired images made by human …

Compared to computed tomography (CT), magnetic resonance imaging (MRI) is more
sensitive to acute ischemic stroke lesion. However, MRI is time-consuming, expensive, and …

Objective This study aimed to investigate the use of texture analysis for characterization of
radicular cysts and periapical granulomas and to assess its efficacy to differentiate between …

Stroke is a leading cause of disability and mortality, resulting in substantial socio-economic
burden for healthcare systems. With advances in artificial intelligence, visual image …

Radiomics has the potential to individualize patient treatment by using images that are
already being routinely acquired. Defined as the extraction of quantitative imaging features …

We propose an ischemic stroke detection system with a computer‐aided diagnostic ability
using a four‐step unsupervised feature perception enhancement method. In the first step …

Malignant middle cerebral artery infarction (mMCAi) is a serious complication of cerebral
infarction usually associated with poor patient prognosis. In this retrospective study, we …

Background Noncontrast enhanced computed tomography (NCCT) remains the most
common method for brain imaging patients who present acutely with ischaemic stroke …