Cancer is a dreadful disease. Millions of people died every year because of this disease. It is
very essential for medical practitioners to opt a proper treatment for cancer patients …

The application of computational approaches in medical science for diagnosis is made
possible by the development in technical advancements connected to computer and …

This paper proposed a new combination of feature selection/extraction approach for Artificial
Neural Networks (ANNs) classification of high-dimensional microarray data, which uses an …

Artificial intelligence has illustrated drastic changes in radiology and medical imaging
techniques which in turn led to tremendous changes in screening patterns. In particular …

In this paper, a stomach cancer detection system based on Artificial Neural Network (ANN),
and the Discrete Cosine Transform (DCT), is developed. The proposed system extracts …

Background One of the best and most accurate methods for identifying disease-causing
genes is monitoring gene expression values in different samples using microarray …

BACKGROUND: Various techniques are used in diagnosing cardiac diseases. The
electrocardiogram is one of these tools in common use. In this study vectorcardiogram …

Complementary DNA (cDNA) microarray-based tumor gene expression profiles have been
successfully used for cancer diagnosis. The main difficulty in processing cDNA microarrays …

Cancer represents a widespread medical challenge that is being faced by the world. It is
being regularly explored by scientists and researchers due to its high rate of mortality. In the …

Cancer is a lethal disease if not detected in an early stage. This paper presents an outline of
different types of cancers and recent advancement in soft computing techniques for their …