Quantum Computation Perspectives in Medical Image Processing

P. Rodrigues, M. Ferreira, J. Monteiro
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引用次数: 3

Abstract

The automatic analysis of medical images is a field whose main goal is to give to machines a high capacity of processing images in the way the human brain does. This capacity is important in multiple directions. In this domain, the automation of human tasks is mainly helpful to conclude tasks in less time and to minimize errors when producing the results of those tasks. The involved tasks in human vision reach a high level of functional complexity. This is particularly true when the objects of processing are medical images. Thus, it is common to use medical image cases to validate models that have the goal to reach the human visual capacity. Nowadays, there is a relative large pool of knowledge about the human visual cortex and this allows having some image processing solutions that present a good perAbstrAct
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量子计算在医学图像处理中的应用
医学图像的自动分析是一个领域,其主要目标是赋予机器像人脑一样处理图像的高能力。这种能力在多个方面都很重要。在这个领域中,人工任务的自动化主要有助于在更短的时间内完成任务,并在生成这些任务的结果时最大限度地减少错误。人类视觉所涉及的任务具有很高的功能复杂性。当处理的对象是医学图像时尤其如此。因此,通常使用医学图像案例来验证以达到人类视觉能力为目标的模型。现在,关于人类视觉皮层的知识已经相当丰富了,这就使得一些图像处理解决方案能够呈现出很好的perAbstrAct
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