18602562. MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, ULTRASOUND DIAGNOSTIC SYSTEM, IMAGE PROCESSING APPARATUS, AND TRAINING APPARATUS simplified abstract (Konica Minolta, Inc.)

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MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, ULTRASOUND DIAGNOSTIC SYSTEM, IMAGE PROCESSING APPARATUS, AND TRAINING APPARATUS

Organization Name

Konica Minolta, Inc.

Inventor(s)

Akihiro Kawabata of Tokyo (JP)

Hiroaki Matsumoto of Kanagawa (JP)

MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, ULTRASOUND DIAGNOSTIC SYSTEM, IMAGE PROCESSING APPARATUS, AND TRAINING APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18602562 titled 'MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, ULTRASOUND DIAGNOSTIC SYSTEM, IMAGE PROCESSING APPARATUS, AND TRAINING APPARATUS

The patent application discusses techniques for efficiently generating time-varying image data for training a machine learning model.

  • The machine learning model is trained using training data that includes time-varying image data standardized in a time direction.
  • The first time-varying image data is based on a reception signal for image generation received by an ultrasound probe.
  • The second time-varying image data is obtained by standardizing the first time-varying image data.
  • The third time-varying image data is based on the second time-varying image data.
  • The training data also includes ground truth data with a detection target corresponding to the training time-varying image data.
    • Potential Applications:**

- Medical imaging for diagnostic purposes - Industrial quality control for defect detection - Autonomous vehicles for object recognition - Surveillance systems for security monitoring

    • Problems Solved:**

- Efficient generation of time-varying image data - Training machine learning models with diverse image datasets - Enhancing accuracy in detection and recognition tasks

    • Benefits:**

- Improved performance of machine learning models - Enhanced capabilities in image analysis and interpretation - Increased efficiency in training processes

    • Commercial Applications:**

Title: "Efficient Time-Varying Image Data Generation for Machine Learning Models" This technology can be utilized in the fields of healthcare, manufacturing, automotive, and security industries. Companies can leverage this innovation to enhance their products and services by incorporating advanced image analysis capabilities.

    • Questions about the Technology:**

1. How does this technology improve the accuracy of machine learning models in image recognition tasks? 2. What are the potential challenges in implementing this technology in real-world applications?


Original Abstract Submitted

Techniques for efficiently generating time-varying image data for use in training a machine learning model are disclosed. An aspect of the present disclosure relates to a machine learning model trained using training data that includes at least one piece of training time-varying image data of second time-varying image data and third time-varying image data, the second time-varying image data being obtained by standardizing first time-varying image data in a time direction, the first time-varying image data being based on a reception signal for image generation received by an ultrasound probe, third time-varying image data being based on the second time-varying image data, and, and ground truth data including a detection target corresponding to the at least one piece of training time-varying image data.