1261 results about "Research Object" patented technology

The invention discloses a clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform, and relates to the technical field of an Internet medical platform. The clinical data mining analysis and aided decision-making method includes data mining analysis and aided decision-making, wherein data mining analysis includes a multidimensional analysis algorithm module, a data mining algorithm module and a deep learning algorithm module; and aided remote decision-making includes four parts: a prediction module based on index parameters, a prediction module based on inspection report texts, a model training module and a structurized module. The clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform selects several diseases as research objects for data collection and analysis, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, and collects and integrates clinical medicaldata depended the integrated platform to realize data mining analysis and aided decision-making services for clinical data diseases, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, so as to provide systematic support for clinical diagnosis of clinicians and disease research by researchers.

The invention discloses a multi-spectrum artificial intelligent measuring method of meat fresh degree and a relative system, wherein an adjustable light source emits special light beam on a meat platform, a 3CCD multi-spectrum camera receives the light reflected from the meat, and outputs signal to an image pickup card to be transmitted to a computer processing system to be processed. The invention uses a meat database in the computer to select different meats to process various pretreatments, then extracts various characteristic wavelengths, selects pixel group as following research object, via artificial intelligent judgment, recognizes three different modes as fresh meat, sub fresh meat and bad meat under prior model, and outputs recognition result to be displayed on computer. The invention combines machine vision, image process and artificial intelligence techniques, or the like, thereby judging quickly, non-damage, and accurately the fresh degree of meat.

The invention discloses an automatic cell detection and segmentation method based on deep learning and using adaptive ellipse fitting. A deep learning method is used to detect a cell in a pathologic image, an active contour model is used to search an accurate cell contour, and an adaptive ellipse fitting technology is used to segment contours of overlapped cells. According to the method of the invention, large slice images serve as research objects, deep learning is combined with a sliding window, the position of the cell in the image can be found accurately, and the active contour and the adaptive ellipse fitting are combined to effectively segment the overlapped cells. The method can be used to help clinical doctors evaluate cells in the digital pathologic slices in a quantified manner and make clinical diagnosis rapidly and accurately, diagnosis difference between different observers or different time periods of the same observer is reduced, and compared with a present cell detection and segmentation method, the method of the invention is advantageous in the aspects of both accuracy and feasibility.

The invention relates to a method for displaying a hollow space in an object under investigation, wherein the hollow space has an access point and a target point for a surgical instrument which can be introduced at least partially into the hollow space, and wherein a three dimensional image data set of a section of the hollow space having the access point and / or the target point is determined and spatially displayed. By highlighting the access point and / or the target point in the spatial display of the hollow space section it is possible to make a method available which provides the surgical staff with improved guidance in the object under investigation.

The invention discloses a BP and GA based blade machining cutting quantity optimization selection method. The method comprises: establishing an aluminum alloy blade milling model by taking a spiral milling process of a ball end mill as a research object; simulating milling of blades of an aeroengine by using ABAQUS nonlinear finite element analysis software; summing up a change pattern between a cutting parameter and a deformation amount in milling simulation and a relationship between the cutting parameter and the deformation amount by using an artificial neural network algorithm, and establishing a blade milling deformation prediction model; and determining a design variable, a target function and a constraint condition for cutting parameter optimization, constructing a cutting parameter optimization model of aluminum alloy blades, and optimizing the cutting parameter by using a genetic algorithm. According to the method, the functional relationship between the deformation amount and the cutting parameter is established, and the cutting parameter optimization model is established, thereby providing a reasonable and quick cutting parameter selection method to guide actual production.

The invention relates to a transmission and friction experiment table for a multifunctional mechanical part. The transmission and friction experiment table comprises a first guiding rail, a second guiding rail, a first driving motor, a second driving motor, a first supporting plate, a second supporting plate, a first main shaft box, a second main shaft box, a first test-piece, a second test-piece,a first torque sensor, a second torque sensor, a first rigid coupler, a second rigid coupler, a third rigid coupler, a first supporting plate sliding driving motor, an universal coupler, a loading electric cylinder, a bedplate, an acceleration vibration sensor, a temperature sensor, a displacement sensor, a pressure sensor, a lubricating system, a cooling system and a general controlling computer. According to the invention, various low and high friction pairs in a contact zone can be tested online for frictional wear, energy consumption, vibration and material behaviors under the different loads, rotating speeds and lubrication conditions, and transmission parts and systems can be conducted with friction and transmission process experiments; when testing data is gathered, parts and systems to be tested can be analyzed for the following situations such as frictional wear, power consumption, stress and the service behaviors of transmission pairs, so that the behavior features, variation rules and failure mechanisms of research objects in the operating process can be obtained.

A system and method for managing private records and other confidential information is provided, including a patient interface that allows patients to configure privileges for various parties to access various private records or portions thereof. A database can be accessed via a privacy engine, which respects the configured privileges and allows searching for private records. A plurality of user interfaces is provided to allow records managers, patients, and interested parties to access selected private information. A clinical trials interface allows limited access to a private records database for interested parties to identify germane clinical trials and research studies. A recruitment interface allows conductors of research studies to access private records to locate appropriate research subjects.

The invention proposes a method for correcting the resting result of infrared temperature measurement equipment, and various types of infrared temperature measurement equipment as a research object. The data measured by the infrared temperature measurement equipment is corrected manually, and the corrected data is close to the real temperature of the object. The method comprises the steps: testing the function variables corresponding to a model and a formula through presetting a testing module and a calculation formula; carrying out the fitting of the measured data through software, determining the coefficient and multiplier of the calculation formula, and forming a complete calculation formula; and calculating the accurate temperature of the target under the same measurement condition no matter how the function variables change. The method is suitable for the correction of the target temperature of the infrared temperature measurement equipment with various types of precision and applicable temperature ranges under the complex conditions. The method has obvious advantages for the measurement of the temperature of steel ingot. The method can overcome the temperature errors, caused by the temperature, distance and angle changes, of the infrared temperature measurement equipment, and achieves the purpose of measuring temperature quickly, accurately and safely.