Gene expression data hide vital information required to understand the biological process
that takes place in a particular organism in relation to its environment. Deciphering the …

Mammography is the most preferred method for breast cancer screening. In this study,
computer-aided diagnosis (CAD) systems were used to improve the image quality of …

The current study seeks to compare 3 clustering algorithms that can be used in gene-based
bioinformatics research to understand disease networks, protein-protein interaction …

Breast cancer is one of the most emergent disease in women. Image classification is a
supporting for medical system as well as the difficult task also. Mammographic images …

Performance of computerized diagnostic systems yearning to be approved by medical
regulatory bodies must meet the expectations of human experts. Highly accurate lesion …

Breast cancer is a familiar disease in the female; its effects are, however, not so much
diverse in males. In females, the death rate is gradually increasing due to this disease …

Breast Cancer is most common disease in worldwide leads to high rate in mortality.
Detection of symptoms at early stage is difficult to identify the breast cancer. Diagnosis …

Purpose This study explored the use of computer-aided diagnosis (CAD) systems to
enhance mammography image quality and identify potentially suspicious areas, because …

With the ever-increasing large volumes of data, efficient, reliable, robust algorithms are
needed to discover hidden patterns in the data. Clustering is an unsupervised machine …

In this paper, we aim to propose an Expert System prototype for breast cancer detection. The
proposed prototype is able to detect the existence of breast cancer of the patient using …