The fields of medicine science and health informatics have made great progress recently
and have led to in-depth analytics that is demanded by generation, collection and …

Abstract The concept of Big Data is popular in a variety of domains. The purpose of this
review was to summarize the features, applications, analysis approaches, and challenges of …

Feature extraction is an essential process to image classification. Existing feature extraction
methods can extract important and discriminative image features but often require domain …

Tissue intensity distributions in medical images can have varying degrees of statistical
dispersion, which is referred to as heteroscedasticity. This can influence image contrast and …

With the widespread use of VSAT (Very Small Aperture Terminal, proposed by Hughes
Company) network solution, some aspects of VSAT network, such as the transparent …

Data mining and knowledge discovery has emerged to extract useful, interesting, and
unknown patterns and knowledge from huge amount of database. Big data is the term used …

Classification of cancer is determined the appropriate treatment and helps to determine the
prognosis. The Existing System was presented to classify the human cancer diseases …

Breast cancer disease is the world's second leading killers among cancer causing death in
women. Regardless of the fact that cancer is curable and preventable in early stages, still …

Medical image processing is the method to enhance and derive meaningful information from
digital medical images. Large collection of medical images has led to the rise in some …

As a matter of fact, the textural features extracted from medical images have physical
meaning. Some of them express the contrast, the uniformity, the homogeneity, the distortion …