This review paper focuses on the neonatal brain segmentation algorithms in the literature. It
provides an overview of clinical magnetic resonance imaging (MRI) of the newborn brain …

Accurate medical image segmentation of brain tumors is necessary for the diagnosing,
monitoring, and treating disease. In recent years, with the gradual emergence of multi …

Purpose Detection (diagnosis) of diabetic retinopathy (DR) in optical coherence tomography
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …

(Aim) Pathological brain detection (PBD) systems aim to assist and even replace
neuroradiologists to make decisions for patients. This review offers a comprehensive and …

There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

Autism Spectrum Disorder (ASD), commonly known as autism, is a lifelong developmental
disorder associated with a broad range of symptoms including difficulties in social …

Blood pressure (BP) changes with age are widespread, and systemic high blood pressure
(HBP) is a significant contributor for strokes and cognitive impairment. A non-invasive …

A new 3D segmentation method based on the level set technique is proposed. The main
contribution is a robust evolutionary model that requires no fine tuning of parameters. A …

This paper introduces a new framework for the segmentation of different brain structures
(white matter, gray matter, and cerebrospinal fluid) from 3D MR brain images at different life …

Autism is a complex neurological disorder which affects behavioral and communication
skills. Numerous studies were presented suggesting abnormal development of neural …