Given that neural networks have been widely reported in the research community of medical
imaging, we provide a focused literature survey on recent neural network developments in …

Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac
patients. The increasing demand for cardiac imaging begins to exceed the number of …

The aim of this research is to propose a new neural network based method for medical
image segmentation. Firstly, a modified self-organizing map (SOM) network, named moving …

Image segmentation denotes a process of partitioning an image into distinct regions. A large
variety of different segmentation approaches for images have been developed. Among …

Segmentation of tissues and structures from medical images is the first step in many image
analysis applications developed for medical diagnosis. Development of treatment plans and …

Precise measurements on abdominal organs are vital prior to the important clinical
procedures. Such measurements require accurate segmentation of these organs, which is a …

Foreground-Background Separation by Feed-forward Neural Networks in Old Manuscripts Page
1 Informatica 38 (2014) 329–338 329 Foreground-Background Separation by Feed-forward …

This paper describes a novel approach to binarization techniques. It presents a way of
obtaining a threshold that depends both on the image and the final application using a …

Image segmentation techniques have been widely applied in many fields such as pattern
recognition and feature extraction. For the primate visual attention model, the perceptual …

Despite the large number of techniques proposed in recent years, accurate segmentation of
digital images remains a challenging task for automated computer algorithms. Approaches …