Stroke is one of the widespread causes of morbidity worldwide and is also the foremost
reason for attained disability in human community. Ischemic stroke can be confirmed by …

Accurate segmentation of frontal lobe areas on magnetic resonance imaging (MRI) can
assist in diagnosing and managing idiopathic normal-pressure hydrocephalus. However …

In this article, we study the indirect relationship between the adoption of computer-aided
detection or diagnostic (CADe or CADx) systems for hepatic resection (HR) and the patient's …

Medical image segmentation is currently of a priori guiding significance in medical research
and clinical diagnosis. In recent years, neural network-based methods have improved in …

BACKGROUND: Medical image processing has gained much attention in develo**
computer-aided diagnosis (CAD) of diseases. CAD systems require deep understanding of …

Accurate breast and tumor segmentations from dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) is vital in breast disease diagnosis. Here, we propose a …

Brain tumors are among the most prevalent neoplasms in current medical studies.
Accurately distinguishing and classifying brain tumor types accurately is crucial for patient …

Active contour models have been widely used in image segmentation, and the level set
method (LSM) is the most popular approach for solving the models, via implicitly …

Restorative applications have turned to the healthcare industry various therapeutic
applications require legitimate segmentation of medical images for an exact determination …

The level set methods have given effective structures to medical image analysis.
Nonetheless, to acquire exact limits of the objects, particularly when they have feeble edges …