Mammography is the most effective technique for breast cancer screening and detection of
abnormalities. However, early detection of breast cancer is dependent on both the …

The nature of clinical data makes it difficult to quickly select, tune and apply machine
learning algorithms to clinical prognosis. As a result, a lot of time is spent searching for the …

Breast cancer classification technique divides breast cancer into two categories, benign
tumors and malignant tumors. The main purpose of breast cancer classification is to classify …

A novel method is proposed to establish the pancreatic cancer classifier. Firstly, the concept
of quantum and fruit fly optimal algorithm (FOA) are introduced, respectively. Then FOA is …

In this paper, the current approaches and performance needs for whole slide image (WSI)
analysis processing in breast cancer diagnostics are discussed. WSIs provide high …

Mammographic image is the most effective technique for breast cancer screening and early
detection of masses or abnormalities. It can detect 85 to 90 percent of all breast cancers …

In this paper, we investigate the application of Data Mining (DM) techniques for mining
knowledge of the patient record. We focus more specifically on available solutions offered by …

Medical data is heterogeneous in nature and associated with uncertainties. For that reason,
data mining has been assisting physicians in decision making and to cope with the …

Data mining is an essential step of knowledge discovery in databases (KDD) process by
analyzing the huge amount of data from different perspectives and summarizing it into …

Image clustering creates a set of same images into a group. Nowadays, very large amount of
images available in various data repository including would wide web and some other large …