Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …

Despite being thirteen years since the installation of the first PET-MR system, the scanners
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …

The synthesis of computed tomography (CT) images from magnetic resonance imaging
(MR) images and segmentation of target and organs-at-risk (OARs) are two important tasks …

Increasing interests in using magnetic resonance imaging only in radiation therapy require
methods for predicting the computed tomography numbers from MRI data. Here we propose …

Automated diagnosis of diseases in the recent years have gain lots of advantages and
potential. Specially automated screening of cancers has helped the clinicians over the time …

Synthesis of computed tomography (CT) images from magnetic resonance (MR) images is
an important task to overcome the lack of electron density information in MR-only …

Brain tumor detection in medical image processing presents a formidable challenge due to
the complex behavior exhibited by these tumors. Their intricate nature arises from a variety …

Electrical impedance tomography (EIT) is a promising technique in medical imaging. With
this technique, pathology-related conductivity variation can be visualized. Nevertheless …

Most research on using pseudo-computed tomography (pCT) on brain-imaging techniques
relies on in-house methods. As performance as a whole increase, they pay particular …

In the field of healthcare, computer vision plays a very crucial role which is expected to
expand exponentially in the coming decades. Computer vision solely focuses on …