Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

The complexity of biological systems, unlike physical science applications, makes the
development of computerised systems for medicine not a straightforward algorithmic …

Objective: The number and size of medical databases are increasing rapidly but most of
these data are not analyzed for finding the valuable and hidden knowledge. Advanced data …

This paper presents an automatic diagnosis system for detecting breast cancer based on
association rules (AR) and neural network (NN). In this study, AR is used for reducing the …

The automatic diagnosis of breast cancer is an important, real-world medical problem. In this
paper we focus on the Wisconsin breast cancer diagnosis (WBCD) problem, combining two …

Data mining is a very popular technique and has been widely applied in different areas
these days. The artificial neural network has become a very popular alternative in prediction …

Background Fuzzy logic can help reduce the difficulties faced by computational systems to
represent and simulate the reasoning and the style adopted by radiologists in the process of …

Recent advances in the field of artificial intelligence have led to the emergence of expert
systems for medical applications. Moreover, in the last few decades computational tools …

Digitized image data are input into a processor where a detection component identifies the
areas (objects) of particular interest in the image and, by segmentation, separates those …

Background Computer-aided diagnosis (CAD) can assist physicians in effective and efficient
diagnostic decision-making. CAD systems are currently essential tools in some areas of …