Artificial intelligence cloud diagnosis platform
An artificial intelligence and platform technology, applied in medical automated diagnosis, image enhancement, instruments, etc., can solve the problems of not realizing data processing and reducing the workload of testing personnel
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Embodiment 1
[0132] like figure 1 As shown, the process of realizing the artificial intelligence cloud diagnosis platform is as follows:
[0133] S1. Number the samples of the subjects, determine the sample number in the cloud system, collect the samples of the subjects before the start of the process on the cloud, and re-number them after collecting a batch of samples uniformly, and determine the number of samples and subjects. Corresponding relationship of inspector information.
[0134] S2. Registration: enter the subject's information into the system, enter the sample number, scan: digitize the sample, register and scan at the same time, without interfering with each other, enter the subject's information into the system during registration, and enter the renumbered sample number
[0135] S3. Upload: upload the digital samples to the cloud system, which provides network-based data access services, and can store and call various unstructured data including text, pictures, audio and vi...
Embodiment 2
[0141] like figure 2 As shown, on the basis of Embodiment 1, when numbering in step S1, the sample number of the cloud system is generated according to the coding rules, for example, a specific prefix is added before the collected sample data number to indicate the province where the sample is located. When the data sample is large, it can quickly classify the subject samples and quickly extract the subject samples according to the prefix information. When the original number of the subject's sample is needed, the original number is obtained by reverse decoding, which facilitates the conversion between the cloud system sample number and the hospital system number, facilitates management, and avoids mistakes.
Embodiment 3
[0143] like image 3As shown, the digital samples are uploaded to the cloud system after the client encrypts the files. As a third-party cloud storage service product, the cloud system provides data security protection functions, but the data encryption is completed by the cloud storage service provider. It can prevent ordinary users from attacking, but it is still transparent to the internal personnel of the cloud service system. For medical information, especially information that may involve genetic resources such as cytology, once leaked, it will have a greater impact on the country and the people. To ensure the security of medical data in the cloud diagnosis process, in step S3, the digital sample is encrypted on the client side and then uploaded to the cloud system. The data key is the temporary key applied by the uploader to the system, which is a private key, encrypted The data sample does not affect the processing of the sample data by the AI system on the cloud. Wh...
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