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Titlebook: Real-Time Medical Image Processing; Morio Onoe,Kendall Preston,Azriel Rosenfeld Book 1980 Plenum Press, New York 1980 X-ray.blood cell.com

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The diff3T.M. Analyzer: A Parallel/Serial Golay Image Processor, 1978)]. The sample preparation methodology has been evaluated by Nourbakhsh et al. (1978); it produces Wright’s stained blood smears, on standard microscope slides, which are of consistently high uniformity and quality (Color Plates 21 and 22).*
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The Development of a New Model Cyto-Prescreener for Cervical Cancerese tests, we have developed a new high-performance cyto-prescreener. In the following section the fundamental ideas which have been developed to improve the performance of a practical system are described.
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Towards an Image Analysis Center for Medicineness of the application of computers to other tasks in medical image processing is still questionable (see Agrawala, 1977) Great research efforts are still needed if one wants to bring significant advances in daily medical services through the application of image processing technology.
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Cellular Computers and Biomedical Image Processingr instruction typically affects only one or two pieces of data, manipulations of an entire image must be accomplished through explicit iteration which costs heavily in both time and conceptual distraction. The picture processing approach we are investigating avoids these problems by defining a set o
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Ultra High-Speed Reconstruction Processors for X-Ray Computed Tomography of the Heart and Circulatioexhibit both high spatial and halftone resolution as described by Brooks and DiChiro (1976). However, the operational flexibility of these devices is restricted by their inability to record sufficient x-ray transmission data to reconstruct more than a single 5–15mm thick cross section of tissue duri
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Toward Computed Detection of Nodules in Chest Radiographs1950) and others have demonstrated that radiologists routinely miss about 30% of the abnormalities visible in chest film radiographs. Ziskin et al. (1971) show that radiologists produce about as many or more false positives than false negatives when they search for a solitary nodule in a chest radio
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Dynamic Computed Tomography for the Heartcould be used to evaluate stroke volume (Miller, 1977) and ejection fraction. Real-time images of the heart muscle could be used to detect damaged tissues and, presumably, show edematous and necrotic regions (Adams, 1976). Moreover, sufficiently fast scanners in combination with contrast media injec
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Real-Time Image Processing in CT—Convolver and Back Projectorhic image from the radiographic projections as reported by such authors as Bracewell and Riddle (1967), Ramachandran and Lakshminarayan (1971), and Shepp and Logan (1974). Most modern tomographic scanners use a method based on the socalled “convolution-back-projection” method. Generally, the amount
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