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 …

This paper reviews the application of artificial neural networks in medical image
preprocessing, in medical image object detection and recognition. Main advantages and …

Edge identification is a technique for recognizing and detecting sharper breaks in an image.
The halt is caused by a rapid change in the value of the pixel force dark level. Convoluting …

This article proposes an Enhanced Memetic Differential Evolution (EMDE) for designing
digital filters which aim at detecting defects of the paper produced during an industrial …

This paper aims to present a review of neural networks used in medical image processing.
We classify neural networks by its processing goals and the nature of medical images. Main …

This manuscript is a review over the published articles on edge detection. At first, it provides
theoretical background, and then reviews wide range of methods of edge detection in …

Neutrosophic set (NS) theory is a formal framework to study the origin, nature, and scope of
the neutral state. In this paper, neutrosophic set is applied in image domain and a new …

In this article, a fully unsupervised method for brain tissue segmentation of T1‐weighted MRI
3D volumes is proposed. The method uses the Fuzzy C‐Means (FCM) clustering algorithm …

Abstract Pulse-coupled Neural Network (PCNN) is a third-generation artificial neural
network that requires no training. Neurons in PCNN have two pulse burst modes: firing …

Currently, magnetic resonance imaging (MRI) has been utilized extensively to obtain high
contrast medical image due to its safety which can be applied repetitively. To extract …