Breast cancer is the most common cancer in the world and the most common cause of cancer death in women. Treatment of breast cancer is currently effective only if it is detect at an early stage. X-ray mammography is the most effective method for early detection .In this paper authors have propose Computer Aided Diagnosis (CAD) System for breast cancer using mammography images. Moreover ,authors...

235 Abstract— The application of machine learning tools has shown its advantages in medical aided decisions. The purpose of this study is to construct a medical decision support system based on support vector machines (SVM) with 30 physical features for helping the Doctors Specialized in Anesthesia (DSA) in pre-anesthetic DSA examination or preoperative consultation. For that, in this work, a n...

Computer-aided diagnosis techniques in medical imaging are developed for the automated differentiation between benign and malignant lesions and go beyond computer-aided detection by providing cancer likelihood for a detected lesion given image and/or patient characteristics. The goal of this study was the development and evaluation of a computer-aided detection and diagnosis algorithm for mammo...

This paper presents a novel approach to diagnosis which addresses the two problems computational complexity of abduction and device models that have prevented model-based diagnostic techniques from being widely used. The Experience-Aided Diagnosis (EAD) model is defined that combines deduction to rule out hypotheses, abduction to generate hypotheses and induction to recall past experiences and ...

The difficulty of the medical diagnostic task and the advantages of the computer as an aid in this task are discussed. The general strategy and structure of any computer-aided system is presented, and the relationship of diagnostic accuracy to key variables involved in the development, test and use of a computer-aided diagnostic system is examined. These variables include: the computer algorith...

This paper reports a controlled prospective unselected real-time comparison of human and computer-aided diagnosis in a series of 304 patients suffering from abdominal pain of acute onset.The computing system's overall diagnostic accuracy (91.8%) was significantly higher than that of the most senior member of the clinical team to see each case (79.6%). It is suggested as a result of these studie...

We propose a statistical method for nding masses on mammograms. The technique is based on tting broken line regressions to local intensity plots of the images. The method is illustrated on a small database of mammograms that have been read by a radiologist and connrmed by operative data.

BACKGROUND Computer-aided dermoscopy using artificial neural networks has been reported to be an accurate tool for the evaluation of pigmented skin lesions. We set out to determine the sensitivity and specificity of a computer-aided dermoscopy system for diagnosis of melanoma in Iranian patients. METHODS We studied 122 pigmented skin lesions which were referred for diagnostic evaluation or co...

Recently, there has been rapid increase per year in the number of breast MR studies performed in Korea. Dynamic contrast enhanced magnetic resonance mammography is a well-established method in the diagnosis of invasive breast cancer with a sensitivity near 100%. Distinction between benign and malignant lesions in MRI is possible by evaluating their morphology and enhancement pattern. A strong i...