Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …

Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …

Automated assessment of patients with Parkinson's disease (PD) is urgently required in
clinical practice to improve the diagnostic efficiency and objectivity and to remotely monitor …

Purpose Pancreas segmentation is a difficult task because of the high intrapatient variability
in the shape, size, and location of the organ, as well as the low contrast and small footprint of …

Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …

Background Segmentation of cardiac structures is an important step in evaluation of the
heart on imaging. There has been growing interest in how artificial intelligence (AI) methods …

Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …

Objectives We aimed to propose an automatic segmentation method for left ventricular (LV)
from 16 electrocardiogram (ECG)-gated 13 N-NH 3 PET/CT myocardial perfusion imaging …

ABSTRACT Background and Objectives Accurate segmentation of left ventricle (LV) is a
fundamental step in evaluation of cardiac function. Cardiac CT angiography (CCTA) has …

Cerebrovascular disease is one of the world's leading causes of death. Blood vessel
segmentation is a primary stage in diagnosing. Although a few deep neural networks have …