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.

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...

The aim of this study was to check the applicability of tissue counter analysis (TCA) to the discrimination of benign common nevi and malignant melanoma lesions. TCA is based on the partition of the image into square elements of equal size where the features, are calculated out of each square element. The features, based on grey level histogram and co-occurrence matrix, allow the differentiatio...

Many computer aided diagnosis (CAD) problems can be best modelled as a multiple-instance learning (MIL) problem with unbalanced data: i.e. , the training data typically consists of a few positive bags, and a very large number of negative instances. Existing MIL algorithms are much too computationally expensive for these datasets. We describe CH, a framework for learning a Convex Hull representa...

background: the aim of this study was to determine the microtensile bond strength (μtbs) of ceramic and composite computer aided design‑computer aided manufacturing (cad‑cam) blocks bonded to dentin using different adhesive strategies. materials and methods: in this in vitro study, 30 crowns of sound freshly extracted human molars were sectioned horizontally 3 mm above the cementoenamel junctio...