Mammography is a type of radiography used on the breasts as screening method for women. The indicators for breast cancer aremasses and calcifications. Breast cancer screenings show that radiologists miss 8%–20% of the tumors. For this reason, development of systems for computer-aided detection (CAD) and computer-aided diagnosis (CADx) algorithms is the concern of a lot of researches currently b...

Automated detection of anatomic structures is an essential functionality in navigating large 3D image datasets and supporting computer-aided diagnosis (CAD). Several approaches have been proposed for localizing anatomic structures, but all of these methods are offline, require advance training, and offer no capability for continually improving their performance. Conventional offline learning re...

Coronary computed tomography angiography (CCTA) is increasingly used for the assessment of coronary heart disease (CHD) in symptomatic patients. Software applications have recently been developed to facilitate efficient and accurate analysis of CCTA. This study aims to evaluate the clinical application of computer-aided diagnosis (CAD) software for the detection of significant coronary stenosis...

The purpose of this study was to investigate an information theoretic approach to feature selection for computer-aided diagnosis (CAD). The approach is based on the mutual information (MI) concept. MI measures the general dependence of random variables without making any assumptions about the nature of their underlying relationships. Consequently, MI can potentially offer some advantages over f...

Neural networks are often used in computeraided diagnosis systems for detecting clinically significant objects. They have also been applied in the Intelligence Community to cue Image Analysts (IAs) for assisted target recognition and wide-area search. Given the similarity between the applications in the two communities, there are a number of common issues that must be considered when training t...

Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and computed tomography, has always been one of the focus areas in this field. In this study, I describe how machine learning became the dominant technology for tackling CAD in the lungs, generally producing better results than do classical rule-ba...

Breast cancer is a steadily growing disease that provides elevated mortality than other types for global women. The survival rate of this type can be uplifted through appropriate screening and diagnosis where the role early detection breast significant. In regard, design Computer-Aided Diagnosis (CAD) with improved reliability always in demand earlier detection. work proposed VGG-NiN architectu...

The classification of diffuse lung opacities in thinsection computed tomography(HRCT) images is an important step for developing a computer-aided diagnosis(CAD) system. In designing the CAD system for classifying diffuse lung opacities in HRCT images, a Gabor filter-based approach has been shown to be effective. In order to improve further the classification performance of the CAD system, we ex...

Development of information technology industry provided great possibilities in the area of integration of diff erent CAx systems, such as CAD, CAM, CAE and others. In order to successfully link systems of automated-design (or Computer Aided Design CAD) with automated manufacturing systems (or Computer Aided Manufacturing – CAM), automation of manufacturing process planning is needed, i.e. CAPP ...