...
首页> 外文期刊>Journal of computational and theoretical nanoscience >Image Pattern Recognition for an Intelligent Healthcare System: An Application Area of Machine Learning and Big Data
【24h】

Image Pattern Recognition for an Intelligent Healthcare System: An Application Area of Machine Learning and Big Data

机译:智能医疗保健系统的图像模式识别:机器学习和大数据的应用领域

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Today healthcare sector is completely distinguished from other industries. It is a highly important area and people wants highest level of care and facilities irrespective of cost. It could not accomplish social prospect even though it consumes vast fraction of budget. Frequently theanalyses of medical data were done by the medical expert. In terms of image analysis by different human expert, it is often restricted due to its subjectivity, image complexity, widespread differences occur across different translators, and fatigue. As after the feat of Big Data and machinelearning in real world medical application, it is similarly giving exhilarating results with fine precision for medical imaging and is viewed as an important factor for upcoming applications in area of health sector. This paper presents survey of different applications on the Machine Learningand Big Data which relies on image pattern recognition.
机译:今天医疗保健部门完全与其他行业区别出现。 它是一个非常重要的地区,人们想要最高的护理和设施,而不管成本如何。 即使它消耗了大部分预算,它也无法实现社会前景。 医疗专家频繁的医疗数据Theanalyses是由医学专家完成的。 在不同人类专家的图像分析方面,由于其主观性,图像复杂性,在不同翻译人员中出现广泛的差异以及疲劳而往往受到限制。 在现实世界医疗应用中大数据和机械学习经历之后,它同样对医学成像进行了精细精密的令人振奋的结果,被视为即将到来的卫生部门应用应用的重要因素。 本文介绍了对机器学习和大数据的不同应用的调查,依赖于图像模式识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号