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Application of Models based on Human Vision in Medical Image Processing: A Review Article

机译:基于人体视觉在医学图像处理中的模型应用:综述文章

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Nowadays by growing the number of available medical ?imaging data, there is a great demand towards ?computational systems for image processing which can ?help with the task of detection and diagnosis. Early detection of abnormalities using computational systems can help doctors to plan an effective treatment program for the patient. The main ?challenge of medical image processing is the automatic ?computerized detection of a region of interest. In recent years ?in order to improve the detection speed and increase the ?accuracy rate of ROI detection, different models based on the human vision ?system, have been introduced. In this paper, we have provided a brief description of recent works which mostly used visual ?models, in medical image processing and finally, ?a conclusion is drawn about open challenges and required research in this field.?
机译:如今,通过增长可用医疗的数量?成像数据,对图像处理的计算系统有很大的需求?可以呢?帮助检测和诊断的任务。使用计算系统的早期检测异常可以帮助医生为患者计划有效的治疗计划。主要的?医学图像处理的挑战是自动的?计算机化的检测。近年来?为了提高检测速度并增加ROI检测的准确度,基于人类视觉的不同模型?系统介绍。在本文中,我们已经提供了最新作品的简要描述,这些作品主要用于视觉?模型,在医学图像处理中,最后是关于开放挑战和在这一领域所需的研究的结论。?

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