Abstract
Computer Aided Diagnosis (CAD) is one of the trusted methods in the field of medicine. CAD system assists the doctors for the diagnosis of diseases in higher degree of perfection within a short period of time. Now CAD is the most preferable method for the initial diagnosis of cancer using X-ray, CT, mammogram or MRI images. CAD works as an intermediate in between the radiologist and the input images. The output from CAD doesn't think about as a final result however used as a reference for more tests in the relevant field. In fact CAD helps the doctors for detection of cancer more precisely and early. The combination of artificial intelligence, digital image processing technique and radiological image processing etc makes the CAD system more reliable and efficient. Sensitivity, specificity, absolute detection rate etc are the important parameters of the CAD system. Now CAD system is mostly used for breast cancer detection, lung cancer detection, colon cancer, coronary artery disease, congenital heart defect, lung cancer, bone cancer, brain tumor etc. Any part of body can affect cancer and very high possibility to spread other parts. These days CAD system developed to a great extends, however it's not reached to 100% accuracy. In this article that discusses the necessary options, motivation, findings from the early developments and future expansions of CAD systems.
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