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59results about How to "Efficiently decide" patented technology

Method For Analysing Medical Treatment Data Based On Deep Learning and Intelligence Analyser Thereof

A method for analysing medical treatment data based on deep learning, and an intelligent analyser thereof, which can effectively alleviate work stress for doctors in a hospital or medical researchers and can perform scientific analysis on a large amount of medical treatment data or medical data and obtain an analysis result matched therewith. The core content of the method is the establishment of a model in a computer using a deep convolution neuron algorithm in deep learning. The model assists the doctors to make correct judgments and effective decisions for the large amount of medical treatment data using mass medical treatment data selection and optimization model parameters by “training” the model to automatically learn a pathology analysis process of the doctors or the medical researchers and then helping them in processing the large amount of medical treatment data or medical data. The present invention can greatly reduce the work stress for the doctors or the medical researchers and improve the work efficiency thereof. The present invention can free the doctors or the medical researchers from heavy analysis work on the medical treatment data or medical data, so that they can put more effort into other more important work.
Owner:INFERVISION MEDICAL TECH CO LTD

Video-coding device and video-decoding device

A video-coding device and a video-decoding device, which are capable of assuring the necessary quality of a video sequence even if a transmission error and/or a loss of information occurs in a transmission line and preventing the propagation of decoding error to subsequent images, and can effectively retransmit the necessary coded information when a transmission error and/or a loss of information occurs in a transmission line. A motion-compensated interframe-predicting portion predicts an input image by using a preceding decoded image stored in a frame memory portion and outputs motion vectors. A difference calculating portion determines a difference between the input image signal and the predicted image signal and outputs the difference as a prediction-error signal to a band-dividing portion which in turn divides the prediction-error signal into n hierarchical layers of frequency-band-components and outputs them to respective coding portions. A loop-back control portion decides whether each of the coded frequency-band-components of the coded prediction-error signal from respective coding portions is input to a synthesizing portion and outputs a decoded prediction-error signal. The predicted image signal and the decoded prediction-error signal are combined to generate a decoded image signal corresponding to the input image. The decoded image signal is used for prediction of a subsequent input image. A motion-compensated interframe-predicting portion predicts an input image by using a preceding decoded image stored in a frame memory portion and outputs motion vectors. A difference calculating portion determines a difference between the input image signal and the predicted image signal and outputs the difference as a prediction-error signal to a band-dividing portion which in turn divides the prediction-error signal into n hierarchical layers of frequency-band-components and outputs them to respective coding portions for quantizing and encoding the respective components. Buffer portions store the coded information and output the information to an external circuit. The buffers output respective frequency-band-components of the coded information according to retransmission request signals from a retransmission control portion.
Owner:SHARP KK
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