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53results about How to "Clearly presented" patented technology

Big data visualization system based on man-machine interaction and control method thereof

The invention discloses a big data visualization system based on man-machine interaction and a control method thereof. The big data visualization system comprises a data acquisition module, a data classification module, a data storage module, a data extraction module, a calculation processing module and a visualization server. The data acquisition module is connected with the data classification module and is used for acquiring data. The data classification module is connected with the data storage module, classifies the data and transmits the data to the data storage module. The data storagemodule is connected with the data extraction module and is used for storing the data to form a database and transmitting the required data to the data extraction module. The data extraction module isused for extracting required data. The calculation processing module is connected with the data extraction module and is used for calculating and processing related data and transmitting a processingresult to the data extraction module. The visualization server is connected with the data extraction module and is used for inputting requests and outputting results. The method is easy and convenientto operate, complex data can be simply and clearly presented, and the visualization effect is good.
Owner:福建奇点时空数字科技有限公司

Liver region segmentation method and device, electronic equipment and storage medium

The invention relates to the technical field of artificial intelligence, in particular to a liver region segmentation method and device, electronic equipment and a storage medium. The method comprises the steps fo obtaining a nuclear magnetic resonance image, wherein the nuclear magnetic resonance image comprises a plurality of image sequences, and each image sequence in the plurality of image sequences comprises a plurality of frames of two-dimensional images; selecting at least one target image sequence from the multiple image sequences, and determining a target two-dimensional image in each target image sequence in the at least one target image sequence, wherein body parts contained in the target two-dimensional images in the at least one target image sequence are the same; and inputting the target two-dimensional image in each target image sequence and front and back two-dimensional images adjacent to the target two-dimensional image in each target image sequence into the trained neural network, and performing image segmentation on the images in each target image sequence to obtain a liver region in the target two-dimensional image. The embodiment of the invention is beneficial to improving the segmentation precision of the liver region.
Owner:PING AN TECH (SHENZHEN) CO LTD
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