摘要：【中文】本申请涉及一种基于B/S架构的医学影像采集方法、系统、装置和设备，在医学影像采集设备不支持DICOM协议功能采集医学影像的情况下，当接收到用户在web客户端中输入的采集指令之后，可以通过调用安装在web客户端所在的终端上的影像采集程序，控制医学影像设备采集医学影像，进而将采集到的医学影像传递至web客户端，进而通过web客户端，将采集到的医学影像归档至云服务器，也即是说，避免了在医学影像采集设备不支持DICOM协议功能时，医学影像采集设备采集医学影像只能通过C/S架构的桌面应用程序，将采集的医学影像经过一系列的格式转换之后，才能归档至云服务器的情况，提高了基于web客户端的医学影像采集和归档云服务器的便捷性。 【EN】The application relates to a medical image acquisition method, a system, a device and equipment based on a B/S framework, under the condition that the medical image acquisition equipment does not support the DICOM protocol function to acquire medical images, after receiving an acquisition instruction input by a user in a web client, the medical image acquisition equipment can be controlled to acquire the medical images by calling an image acquisition program installed on a terminal where the web client is located, further the acquired medical images are transmitted to the web client, and then the acquired medical images are filed to a cloud server through the web client, namely, the condition that the medical image acquisition equipment can only acquire the medical images through a desktop application program of the C/S framework and can only file the acquired medical images to the cloud server after a series of format conversion when the medical image acquisition equipment does not support the DICOM protocol function is avoided, the convenience of the medical image acquisition and filing cloud server based on the web client is improved.

摘要：【中文】本申请涉及一种医学影像质量检测方法、装置和存储介质。所述方法包括：获取原始医学影像数据；筛除原始医学影像数据中的异常数据，得到无异常医学影像数据；从无异常医学影像数据中去除相关系数不满足要求的数据，得到待检医学影像数据；利用预设的分类模型对所述待检医学影像数据进行质量分类，确定满足质量要求的医学影像。采用本方法能够降低人力成本。 【EN】The application relates to a medical image quality detection method, a medical image quality detection device and a storage medium. The method comprises the following steps: acquiring original medical image data; screening abnormal data in the original medical image data to obtain abnormal-free medical image data; removing data with correlation coefficient not meeting the requirement from the abnormal medical image data to obtain medical image data to be detected; and carrying out quality classification on the medical image data to be detected by using a preset classification model, and determining the medical image meeting the quality requirement. The method can reduce the labor cost.