Pancreatic cancer remains one of the deadliest cancers worldwide, and it is typically
diagnosed late, with a poor prognosis. Early detection is the most important underlying factor …

The Study of Health in Pomerania (SHIP), a population-based study from a rural state in
northeastern Germany with a relatively poor life expectancy, supplemented its …

In medical field, it remains challenging to accurately segment medical images due to low
contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this …

Breast ultrasound image segmentation is the foundation of the diagnosis and treatment of
breast cancer. The level set method is widely used for medical image segmentation …

This paper presents a region-based active contour method for the segmentation of intensity
inhomogeneous images using an energy functional based on local and global fitted images …

One of fundamental steps in the infrared thermographic process is the accurate
segmentation of defects displayed on thermal images. State-of-the art segmentation …

Level-set-based image segmentation has been widely used in unsupervised segmentation
tasks. Researchers have recently alleviated the influence of image noise on segmentation …

This paper proposes a parameter adaptive hybrid model for image segmentation. The hybrid
model combines the global and local information in an image, and provides an automated …

Purpose The main purpose of this work is to develop, apply, and evaluate an efficient
approach for breast density estimation in magnetic resonance imaging data, which contain …

Image segmentation is still an open problem especially when intensities of the objects of
interest are overlapped due to the presence of intensity inhomogeneities. A bias correction …