By Robin N. Strickland
Univ. of Arizona, Tucson. offers a present assessment of machine processing algorithms for the id of lesions, irregular plenty, melanoma, and disorder in scientific photos. provides examples from a number of imaging modalities for greater reputation of anomalies in MRI, CT, SPECT, and digital/film X ray.
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Extra resources for Image-Processing Techniques for Tumor Detection
Sample text
A cluster is defined as three or more calcifications within 1 cm2. The intended use of this detection algorithm is for a CAD second reader system. Therefore, cluster detections are reduced to single-pixel prompt locations computed as the centroid of the individual calcifications within each cluster. If a prompt falls within 1 cm of a true cluster, it is considered a true positive, otherwise it is a false positive. Performance can be measured at the image or case level using FROC analysis. Each individual operating point in the FROC curves are generated by applying a threshold to the probability associated with each calcification and then running the postprocessing clustering routine.
How the ground truth is derived is irrelevant. We only need to know that it is the “gold standard” against which an algorithm will be measured. Once ground truth in- Copyright © 2002 Marcel Dekker, Inc. Fig. 2 A mammogram image with a spiculated lesion and three methods for denoting the positive location: (A) the raw image, (B) a circular region defined with a centroid and radius, (C) a region defined with a chain code, and (D) a template image. formation for a set of test images has been established, characterization of computer detections is quite straightforward.
Thus, there has been a proliferation of image processing (1–2) and CAD (3–5) tools developed in the past 20 years. , computed radiography [CR]) and the recent progress in digital mammography, clinical implementation of CAD seems even more probable than in the past. , in computed tomography [CT], magnetic resonance imaging [MRI], and ultrasonography [US], where images are digitally acquired and are often displayed on and diagnosed from a CRT monitor), but for the most part CAD tools are used only in experimental situations.