Uric acid monitoring method based on deep learning

CN119741297AActive Publication Date: 2025-04-01HUNAN ANYU HEALTH TECH CO LTD
View PDF 5 Cites 2 Cited by

Patent Information

Application Number
CN202510245391.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-04-01
Estimated Expiration
2045-03-04

Smart Images

  • Figure CN119741297A_ABST
    Figure CN119741297A_ABST
Patent Text Reader

Abstract

The present invention discloses a uric acid monitoring method based on deep learning, which relates to the technical field of uric acid monitoring, and includes the following steps: obtaining a pre-processed uric acid detection ultrasonic image to provide a high-quality data basis for subsequent deep learning analysis; in the pre-processed ultrasonic image, applying a deep learning algorithm to preliminarily identify the uric acid pathological characteristics and detect the patient's lesion area; after identifying the pathological characteristics, obtaining image information at the pathological characteristic position, and further extracting features from the image information. The present invention analyzes the pre-processed ultrasonic image through deep learning, identifies the pathological characteristics and further extracts features and abnormal analysis, evaluates the image quality of the pathological characteristic position, ensures that the image quality is normal before identification, improves the recognition accuracy of uric acid crystals and other lesions, reduces missed diagnosis and misdiagnosis, and provides strong support for clinical diagnosis.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Cnn-former-based liver fibrosis lesion detection model training method and system

    CN113838018A

  • Urinary calculus flat scanning CT image recognition system based on deep learning and training method

    CN113962992A

  • Kidney pathological section cell identification method and system based on deep learning

    CN116912823A

  • Systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking

    WO2023023286A2

  • Method for classifying uric acid content of urinary stone by using radiomics parameter of computed tomography image, and analysis device therefor

    WO2023158118A1

Cited By

  • Uric acid data acquisition and anomaly detection method and device based on multi-modal fusion

    CN120656715A

  • Uric acid data acquisition and abnormality detection method and device based on multi-modal fusion

    CN120656715B