3results about How to "Avoid focus" patented technology

The application discloses a music feature extraction method, device, equipment and medium, extracts a music label embedding vector from acquired music data, and constructs a KNN neighbor graph according to the music label embedding vector; inputs the music label embedding vector into a preset autoencoder for feature learning to obtain a first learning feature; inputs the KNN neighbor graph and the feature learned by the autoencoder into a preset graph convolutional neural network model for feature learning to obtain a second learning feature; wherein the graph convolutional neural network model is at least used for learning structural information and potential similarity between samples; and obtains a final music feature vector according to the first learning feature and the second learning feature. By using the application, the deep learning network can guarantee the extraction of the characteristics of the data itself, simultaneously learn the structural information and high-dimensional potential features between samples, strengthen the effectiveness of the feature vector, and improve the accuracy of music feature extraction.

A medical image diagnostics assistance device (1) for assisting diagnosis of a medical image includes a classification model (1A) for classifying at least presence or absence of a disease from the medical image, a prediction unit (11) that carries out prediction using the classification model (1A), and a learning unit (12) that carries out supervised learning of the classification model (1A). In the supervised learning, a training medical image for which at least the presence or absence of the disease is previously known is used as supervised data. The classification model (1A) is constructed by a convolutional neural network (1A1) and an attention branch network (1A2) that visualizes an interest region of the convolutional neural network (1A1). In a stage where the supervised learning is carried out, the attention branch network (1A2) is provided with preliminary information indicating a classification region which is a region required for classifying the presence or absence of the disease on the training medical image.

This application discloses a transmission-type high-power laser emitting system, relating to the technical field of high-power laser systems. The system's laser incident end is connected to a high-power fiber laser for receiving the laser beam, and its laser emitting end is used to focus the laser beam to a target location. The system includes a laser emitting mirror group, an emitting mirror tube, a focusing motor, and a control circuit board. The laser emitting mirror group is disposed inside the emitting mirror tube and includes a laser emitting eyepiece group and a laser emitting objective lens group. The laser emitting eyepiece group is located at the incident end, and the laser emitting objective lens group is located at the laser emitting end. The focusing motor is used to move the laser emitting eyepiece group through a mechanical connector to achieve system focusing. The control circuit board is used to control the focusing motor to rotate and focus according to a focusing signal. The technical solution of this application has a simple system structure, relatively high temperature stability, and can achieve directional focusing of a high-power laser beam over a long distance.