Title :
Recent methods for the detection of tumor using computer aided diagnosis — A review
Author :
Muhammed Anshad, P.Y. ; Kumar, Sahoo Subhendu
Author_Institution :
Dept. of Electron. & Commun., Noorul Islam Univ., Kumaracoil, India
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.
Keywords :
cancer; diagnostic radiography; medical image processing; object detection; tumours; CAD system; CT images; MRI images; X-ray images; artificial intelligence; bone cancer; brain tumor; breast cancer detection; cancer diagnosis; colon cancer; computer aided diagnosis; congenital heart defect; coronary artery disease; digital image processing technique; diseases diagnosis; lung cancer detection; mammogram; medicine; radiological image processing; radiologist; tumor detection; Cancer; Classification algorithms; Computers; Design automation; Feature extraction; Lungs; Tumors; Artificial intelligence; Computer Aided Diagnosis; digital image processing technique; radiological image processing;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6993108