Since Alzheimer's disease (AD) occurs in multiple stages of cognitive impairment, its early
diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the …

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 …

Optical coherence tomography (OCT) is a noninvasive imaging technique that has been
used increasingly to diagnose and manage a variety of retinal diseases. OCT enables …

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 …

Abstract Because carbon-11 (11 C) radiotracers cannot be shipped over long distances,
their use in routine positron emission tomography (PET) studies is dependent on the …

Purpose Due to the potential impacts on public health and economy in general, Alzheimer's
disease, AD, has become one of the biggest challenges to science in the last decade …

Developing an effective computer-aided diagnosis (CAD) system for lung cancer is of great
clinical importance and can significantly increase the patient's chance for survival. For this …

This chapter introduces a system for early diagnosis of prostate cancer using a convolutional
neural network (CNN) from diffusion-weighted imaging (DWI) acquired at seven b-values …

Accurate and early identification of renal rejection type post-transplantation is crucial to
provide the proper management plan. Biopsy, the gold standard, is invasive, expensive, and …