Feature selection (FS) is an important area of research in medicine and genetics. Cancer
classification based on the microarray gene expression data is a challenge in this area due …

Genetic algorithms are widely used in the estimation of expression profiles from microarrays
data. However, these techniques are unable to produce stable and robust solutions suitable …

Image classification is one of the most multifaceted disciplines in image processing. There
are quite a few approaches to categorize images and they offer good classification outcome …

In this research, a group of gray texture images of the Brodatz database was studied by
building the features database of the images using the gray level co-occurrence matrix …

Cancer is the main public health issue in most places of the world due to the difficulties in its
early diagnosis and to begin early treatment. In the recent years many techniques have …

Over the years, the growth in medical image processing is increasing in a tremendous
manner. The rate of increasing diseases with respect to various types of cancer and other …

The venture suggests an Adhoc technique of MRI brain image classification and image
segmentation tactic. It is a programmed structure for phase classification using learning …

In the field of pattern recognition, the study of the gene expression profiles of different tissue
samples over different experimental conditions has become feasible with the arrival of …

Clinicians are interested in the estimation of robust and relevant genetic signatures from
gene sequencing data. Many machine learning approaches have been proposed trying to …

The resolution of this learning is to explore the client-provision supplier rapport in the
insurance production by means of artificial neural networks and linear regression. Data …