34results about How to "High diagnostic efficiency" patented technology

The invention discloses an adaptive multi-site scanning imaging method based on deep learning and a system thereof. The method is applied to a multi-modal imaging device mainly based on the nuclear medicine, and comprises the following steps of step A, for multiple target sites of an imaging target object, conducting single-modal or multi-modal reconnaissance scanning imaging; step B, utilizing image analysis software based on a deep learning technology to analyze the reconnaissance scanning imaging data in step A, and combined with relevant prior information, detecting a local area which needs further focus imaging and quantifying importance or risks thereof; step C, based on the results of step B, selecting an optimized process and parameters to perform the next scanning. The adaptive multi-site scanning imaging method maximizes the image diagnostic value contributed by unit scanning time and / or a radiation dose, achieves optimized precision image inspection for individuals through multi-site scanning imaging application on tumors to improve the diagnostic performance, and has an important practical value.

An X-ray CT apparatus, wherein a drum type rotation frame is rotatably supported by a fixed circular frame so as to surround an outer surface of the drum type rotation frame through a plurality of bearings provided between an inner surface of the fixing circular frame and an outer surface of the drum type rotation frame, for example in ring-like configuration. When the drum type rotation frame receives a large centrifugal acceleration due to a high speed rotation, outside expansion of the drum type rotation frame can be constrained due to both the rigidity of the fixed frame and the rigidity of the plurality of bearings provided on the outer surface of the rotation frame, thereby to maintain the relative positions of the X-ray tube and the X-ray detector and prevent deterioration of reconstructed images.

The invention discloses a peripheral blood methylation gene and IDH1 combined detection and diagnosis model for lung cancer. The invention provides application of methylated SHOX2 gene, methylated PTGER4 gene and IDH1 protein as markers in preparation of products for diagnosis or auxiliary diagnosis of lung cancer, and constructs a three-marker combined lung cancer diagnosis model. Experiments prove that: compared with an incorporated single factor, the diagnosis efficiency of the combined diagnosis model is remarkably enhanced. Therefore, the diagnosis efficiency of the lung cancer can be improved by combined detection blood markers.

The invention discloses a GIS-based power equipment distributed multistage intelligent fault diagnosis system, which comprises an information acquisition module for collecting the macroscopic operation characteristics and the insulation operation characteristics of the power equipment through an SCADA and insulation online monitoring system; an initial diagnosis analysis module which is used for searching the equipment abnormal variable X from a real-time database and then carrying out preliminary diagnosis by utilizing an intelligent fault diagnosis model to obtain a preliminary diagnosis result; a comprehensive diagnosis and analysis module which is used for searching the detected information of other equipment related to the abnormal variable X, and then performing comprehensive diagnosis by utilizing an expert system in combination with the preliminary diagnosis result; and a diagnosis result display module which is used for displaying the fault information in a power distributionnetwork GIS in real time and sending out an alarm signal. According to the system, the real-time state data of the power system can be effectively utilized, according to the steps of determining the node closest to the fault, determining whether the fault is the single-line grounding fault and determining the fault line, the detection and positioning of the single-line grounding fault line are realized, and the safe operation of the system is facilitated.

A transformer winding fault diagnosis method based on wireless identification sensing includes the following steps: collecting transformer winding vibration signals in a normal state and when a fault occurs; denoising the transformer winding vibration signals by using singular entropy, and randomly dividing the denoised transformer winding vibration signals in the normal state into two groups, where one group is training data, and the other group is original measurement data; using the denoised transformer winding vibration signals obtained when the fault occurs as original threshold data; reconstructing the original threshold data to obtain reconstructed threshold data, and obtaining a transformer winding residual error threshold when the fault occurs; and reconstructing the original measurement data to obtain reconstructed measurement data, obtaining corresponding residual error data, and comparing the residual error data with the residual error threshold, to implement fault diagnosis on the transformer winding. The present invention implements remote, wireless, and unmanned fault diagnosis on a transformer winding. The diagnosis efficiency is high, the workload of a maintenance person is reduced, and the running efficiency of a transformer is increased.

A network diagnosis method, a cloud intelligent robot, a network device and a private network, relate to the technical field of communications, and are used for solving the technical problems of having low diagnosis efficiency and leakage risk for a private network in the prior art. The method comprises: an cloud intelligent robot transmitting a network monitoring instruction to a network device in a private network; receiving operation information transmitted by the network device according to the network monitoring instruction; diagnosing the network device according to the operation information to obtain a diagnosis result; and initiating a network configuration information update of the private network according to the diagnosis result.

The invention discloses an application of the expression level of Gremlin-1 in blood plasma in a product of a diagnostic marker for detecting hepatocellular carcinoma. The expression of the Gremlin-1in the blood plasma in a tissue specimen of the hepatocellular carcinoma HCC is mainly located at the interstitial-tumor junction. The invention further discloses application of the Gremlin-1 in the blood plasma in screening or auxiliary diagnosis of hepatocellular carcinoma products. By applying the technical scheme of the invention, a product such as a kit for detecting the diagnostic marker ofthe hepatocellular carcinoma can be designed, and a product for screening or assisting in diagnosing the hepatocellular carcinoma can also be designed, so that the diagnostic efficiency and the clinical transformation value are further improved.

The present invention provides a diagnosis system for vehicular DC charging relay, the system comprises a controller, two resistor clusters R1 and R2, and a switch S, wherein, two resistor clusters R1 and R2 are bridging in a serially connected way in between the DC charging high voltage cables of the vehicle, the resistor cluster R1 consists of two serially connected sub-resistors, and the controller is able to measure a voltage V1 at a common terminal of the two serially connected sub-resistors via a first voltage detection port, the resistor cluster R2 consists of two serially connected sub-resistors, and the controller is able to measure a voltage V2 at a common terminal of the two serially connected sub-resistors via a second voltage detection port, the controller is able to execute a diagnosis operation, and the diagnosis operation is based on the measurements of the voltages V1 and V2.

The invention provides a rifampicin drug-resistant tuberculosis molecular marker, a detection reagent and an application thereof. Involved in the field of biomedical technology. The molecular markers include TRIM9, TRIM21 and TRIM56 genes and expression products thereof; the expression of the TRIM9, TRIM21 and TRIM56 genes is down-regulated in rifampicin-resistant tuberculosis patients. The invention can quickly, efficiently and sensitively identify rifampicin drug-resistant tuberculosis patients, and can be used for the screening of rifampicin drug-resistant tuberculosis.

The invention discloses a lung cancer model for the combined detection and diagnosis of peripheral blood methylation gene and IDH1. The invention provides the application of methylated SHOX2 gene, methylated PTGER4 gene and IDH1 protein as markers in the preparation of products for diagnosis or auxiliary diagnosis of lung cancer, and constructs a lung cancer model combined with three markers. Experiments have proved that compared with the single factor included, the diagnostic efficiency of the combined diagnosis model of the present invention is significantly enhanced. Therefore, the diagnostic efficiency of lung cancer can be improved by joint detection of blood markers.

The invention discloses an adaptive multi-part scanning imaging method and system based on deep learning, which is applied to multi-modal imaging equipment mainly based on nuclear medicine, and includes the following steps: Step A, aiming at multiple imaging targets Perform single-modal or multi-modal reconnaissance scanning imaging of the target site; step B, use image analysis software based on deep learning technology to analyze the reconnaissance scanning image data in step A, and combine relevant prior information to detect further Focus on the local area of ​​imaging and quantify its importance or risk; step C, based on the results of step B, select the optimized process and parameters to implement the next scan. The self-adaptive multi-part scanning imaging method proposed by the present invention maximizes the image diagnostic value contributed by the unit scanning time and / or radiation dose, realizes individual optimized precise image inspection for multi-part scanning and imaging applications such as tumors, and improves diagnostic efficiency. Has important practical value.

The invention discloses an auxiliary diagnostic reagent for bronchial asthma. The reagent for detecting proline is applied to preparation of an auxiliary diagnostic reagent for bronchial asthma. The invention also discloses application of the reagent for extracting and detecting proline in preparation of the auxiliary diagnostic reagent for bronchial asthma. The auxiliary diagnostic reagent for bronchial asthma comprises a reagent for extracting proline from serum and a reagent for quantitatively detecting proline. It is found for the first time that the plasma proline level of an asthma patient is higher than that of a normal person, and statistical significance is achieved. When the cutoff value of proline is 38.7 ug / mL, the area under an ROC curve for diagnosing asthma is 0.951 (P is less than 0.0001), which indicates that the diagnosis efficiency is relatively high. Plasma proline is used as a biomarker, a specimen is easy to take, alveolar lavage is not needed, the method belongs to noninvasive examination, early diagnosis of asthma can be assisted, a proline detection method is economical and easy to carry out, and a potential target spot is provided for diagnosis and treatment of bronchial asthma.

A method and device improve efficiency, depth and reliability of diagnosing technical condition of highly complex objects. The technical effect is achieved by signals received from a diagnosed object (DO). These signals are transformed into a technical condition initial estimate vector for the DO elements. Then, technical condition estimates for the DO elements are specified through a cyclical process and by using a reverse logical model and a direct logical model. A technical condition vector estimate is formed after the cyclical process is completed, and its variable components are used for deciding on technical condition of the diagnosed object elements. The device comprises an interface unit which inputs serve for connecting to the DO data outputs, a measuring unit, an initial estimate forming unit, a switching unit, a reverse triplex logical model and a direct triplex logical model, a result interpretation unit and a control unit.

The present invention relates to schizophrenia diagnostic products, in particular to the use of ApoF protein in the preparation or screening of schizophrenia diagnostic products, the ApoF protein can also be combined with age, gender, BMI, or with ApoA4 protein, AGT protein, AACT The combination of one or more of the proteins is used as an indicator in the preparation or screening of schizophrenia diagnostic products. The present invention discloses for the first time that ApoF protein, ApoA4 protein, AGT protein, AACT protein or their unique peptides are used as biomarkers for diagnosing schizophrenia. It provides a research basis for the preparation and screening of various diagnostic products.