Titlebook: Information Processing in Medical Imaging; Proceedings of the 9 Stephen L. Bacharach Conference proceedings 1986 Martinus Nijhoff Publisher

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書目名稱Information Processing in Medical Imaging影響因子(影響力)




書目名稱Information Processing in Medical Imaging影響因子(影響力)學(xué)科排名




書目名稱Information Processing in Medical Imaging網(wǎng)絡(luò)公開度




書目名稱Information Processing in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Information Processing in Medical Imaging被引頻次




書目名稱Information Processing in Medical Imaging被引頻次學(xué)科排名




書目名稱Information Processing in Medical Imaging年度引用




書目名稱Information Processing in Medical Imaging年度引用學(xué)科排名




書目名稱Information Processing in Medical Imaging讀者反饋




書目名稱Information Processing in Medical Imaging讀者反饋學(xué)科排名

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Human Visual Signal Detection and Identification Performance,ed by statistical fluctuations. Under these circumstances it is possible, in principle, to calculate the best possible signal detection performance. We find that under some conditions humans can closely approach this limiting performance.

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An Image Description for Object Definition, Based on Extremal Regions in the Stack,levels of resolution [Koenderink, 1984]. These spots each include an image extremum and are thus called .. The nesting can be specified by a tree indicating the containment relationships of the extremal regions. This tree description, with each region described by intensity information, size, shape,

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Simulation Techniques for Evaluating Magnetic Resonance Imaging,he hydrogen density, N(H), and the rates of relaxation, T1 and T2. Each of these factors can be exploited individually to provide contrast. The direct dependence of signal on the number of spins present, i.e., the hydrogen density, is obvious. The relationships involving T1 and T2 are less intuitive

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Prolog for Symbolic Image Analysis, suitable tool for this purpose. A Prolog program consists of a set of facts and rules. New facts can be deduced by the inbuilt inference mechanism. In contrast to classical programming it is necessary to consider the objects of the domain of investigation and the relationships between them. A set o

eulogize

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