This research was sponsored by the Defense Advanced Research Projects Agency, DOD, through A R P A Order No. 4976, and monitored by the Air Force Avionics Laboratory under contract F33615-84-K-1520. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advance...

during dental education, dental students learn how to examine patients, make diagnosis, plan treatment and perform dental procedures perfectly and efficiently. however, progresses in computer-based technologies including virtual reality (vr) simulators, augmented reality (ar) and computer aided design/computer aided manufacturing (cad/cam) systems have resulted in new modalities for instruction...

A typical definition of the Computer Aided Diagnosis (CAD), found in literature, can be: A diagnosis made by a radiologist using the output of a computerized scheme for automated image analysis as a diagnostic aid. Often it is possible to find the expression Computer Aided Detection (CAD or CADe): this definition emphasizes the intent of CAD to support rather than substitute the human observer ...

With the rapid development of computer technology and the successful Application of medical imaging, computer aided diagnosis technology develops increasingly. On the basis of the research and analysis of cerebral aneurysm and DSA imaging mechanism, this paper proposed a cerebral aneurysm recognition method using Bayesian classification. After cerebral vessel image is preprocessed, geometrical ...

In medical imaging, Computer Aided Diagnosis (CAD) is a rapidly growing dynamic area of research. In recent years, significant attempts are made for the enhancement of computer aided diagnosis applications because errors in medical diagnostic systems can result in seriously misleading medical treatments. Machine learning is important in Computer Aided Diagnosis. After using an easy equation, ob...

Segmentation is an important step in medical image analysis and classification for radiological evaluation or computer aided diagnosis. This paper presents the problem of inaccurate lung segmentation as observed in algorithms presented by researchers working in the area of medical image analysis. The different lung segmentation techniques have been tested using the dataset of 19 patients consis...

Microcalcification detection is an important part of early breast cancer detection. In this paper, we propose a microcalcification detection algorithm using adaptive contrast enhancement in a mammography CAD (computer-aided diagnosis) system. The proposed microcalcification detection algorithm includes two parts. One is adaptive contrast enhancement in which the enhancement filtering parameters...

Breast cancer is one of the most common cancers among women of the developing countries in the world, and it has also become a major cause of death [1, 2]. Treatment of breast cancer is effective only if it is detected at an early stage. Xray Mammography is the most effective technique used by radiologists in the screening and diagnosis of breast cancer in women but the mammographic images are ...