美容治疗仪（舒敏之光）

METHOD AND SYSTEM FOR CONVERTING LVDS VIDEO SIGNAL INTO DP VIDEO SIGNAL

The present invention relates to a method for converting an LVDS video signal into a DP video signal. The method comprises: receiving and demodulating an LVDS video signal to generate LVDS parallelly modulated data and an LVDS pixel clock; performing video decoding on the LVDS parallelly modulated data according to an LVDS video decoding control signal, to generate LVDS video source data and an LVDS video source synchronization signal; converting the LVDS video source data and the LVDS video source synchronization signal into an RGB video signal according to the LVDS video transformation control signal, and performing a corresponding frequency multiplication operation on the LVDS pixel clock to generate a corresponding RGB video pixel clock; and converting the RGB video signal into a DP video signal after a DP video conversion starting command is received. The present invention can detect the quality of an LVDS video signal and the validity of image data, and features high reliability, ...

Mammary gland sampling data processing method based on machine learning

The invention discloses a machine learning-based mammary gland sampling data processing method, which comprises the following steps of applying an in-vitro excitation source to a mammary gland part of a patient to be detected, and collecting resistivity data of the patient to be detected; preprocessing the resistivity data to obtain corresponding four-dimensional input data; inputting the input data into a feature extraction network to obtain an output tensor of the feature extraction network; and classifying the output tensor of the feature extraction network by using an Adaboost algorithm, outputting a classified result, and judging whether the resistivity data is abnormal or not according to the output result. The feature extraction network performs processing and feature extraction on the input data, classifies the processed data, judges whether the data is abnormal or not, provides effective data support for judgment of doctors, and improves the accuracy of judgment.