Now, intelligence diagnoses system such as specialty system, neural network, and information mixing have been used in the condition monitoring and failure diagnose of hydraulic system.
目前，专家系统、神经网络、以及信息融合等智能诊断系统已广泛的应用于液压系统的状态监测与故障诊断中。
Association rules used in mining the database of tumor diagnoses can provide useful information for tumor diagnoses.
挖掘肿瘤诊断数据库中的关联规则，能为肿瘤诊断提供有用的信息。
Image fusion is a research focus of medical image processing. Proper registrations were desired in clinical diagnoses and therapy to obtain complementary information from multi modality images.
医学图像融合是医学图像后处理的研究热点，它充分利用多模式图像，获得互补信息，使临床的诊断和治疗更加准确完善。
It is loaded with information about more than 250,000 people from the past 30 years, drawing on this data to make speedy diagnoses.
该系统中拥有近30年来超25万位患者的信息，并利用这些资料做出快速的诊断。
The importance of skillful data collection is underscored by the widely accepted understanding that the medical history contributes 60% to 80% of the information needed for accurate diagnoses.
尽管普遍认为病史可提供准确诊断所需的60％一80％的信息，但有效地收集资料的技能仍被低估了。
The increase of the information on diagnoses also proposed a higher demand for these processing tools with fast data analysing and accurate diagnosing ability.
用于诊断的信息量的增加也对具有快速数据分析及准确诊断能力的处理工具提出了更高的需求。
Using the technologies of image fusion, we can combine the multimodality medical image information efficiently which is very helpful for clinical diagnoses and treatment.
利用图像融合技术，将不同模态的医学图像有机地结合在一起，可以充分利用各种医学图像的优点，为临床诊断和治疗提供帮助。
Synthesis all information carry on the scientific thought and the logical analysis, after the prevention health care, the disease diagnoses, the treatment, the pre-judgement and so on providest…
综合所有信息进行科学思维及逻辑性分析，为预防保健、疾病诊断、治疗、预后判断等提供客观依据。
Medical image is very important information for medicinal diagnoses and disease treatments, and with more important value in clinic.
医学图像是医学诊断和疾病治疗的重要根据，在临床上具有非常重要的应用价值。
Medical image is very important information for medicinal diagnoses and disease treatments, and with more important value in clinic.
医学图像是医学诊断和疾病治疗的重要根据，在临床上具有非常重要的应用价值。
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