18602510. MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, IMAGE DIAGNOSTIC SYSTEM, IMAGE DIAGNOSTIC APPARATUS, AND TRAINING APPARATUS simplified abstract (Konica Minolta, Inc.)
MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, IMAGE DIAGNOSTIC SYSTEM, IMAGE DIAGNOSTIC APPARATUS, AND TRAINING APPARATUS
Organization Name
Inventor(s)
Hiroaki Matsumoto of Kanagawa (JP)
Yoshihiro Takeda of Tokyo (JP)
MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, IMAGE DIAGNOSTIC SYSTEM, IMAGE DIAGNOSTIC APPARATUS, AND TRAINING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18602510 titled 'MACHINE LEARNING MODEL, PROGRAM, ULTRASOUND DIAGNOSTIC APPARATUS, IMAGE DIAGNOSTIC SYSTEM, IMAGE DIAGNOSTIC APPARATUS, AND TRAINING APPARATUS
Simplified Explanation: The patent application describes a machine learning model trained using ultrasound image data and ground truth data to detect detection targets accurately.
Key Features and Innovation:
- Machine learning model trained with ultrasound image data and ground truth data.
- Detection of detection targets based on region and position information.
- Utilizes reception signals received by an ultrasound probe for training data.
Potential Applications: This technology can be applied in medical imaging for accurate detection of abnormalities in ultrasound images. It can also be used in various industries for automated image analysis tasks.
Problems Solved: This technology addresses the challenge of accurately detecting and identifying detection targets in ultrasound images. It improves the efficiency and accuracy of image diagnostics.
Benefits:
- Accurate detection of detection targets in ultrasound images.
- Improved efficiency in image diagnostics.
- Automation of image analysis tasks.
Commercial Applications: The technology can be utilized in medical imaging devices, quality control systems in manufacturing, and automated inspection systems in various industries. It has the potential to streamline processes and improve accuracy in image analysis tasks.
Prior Art: Readers can explore prior research on machine learning models for image diagnostics and ultrasound image analysis to understand the existing technology in this field.
Frequently Updated Research: Researchers are constantly working on improving machine learning models for image diagnostics and medical imaging applications. Stay updated on the latest advancements in this field for potential improvements in accuracy and efficiency.
Questions about Image Diagnostic Technique using Machine Learning: 1. What are the potential applications of this technology in the healthcare industry? 2. How does this machine learning model improve the accuracy of detection targets in ultrasound images?
Original Abstract Submitted
An image diagnostic technique using a machine learning model is disclosed. An aspect of the present disclosure relates to a machine learning model trained by using training data that includes first ultrasound image data based on a reception signal received by an ultrasound probe; first ground truth data that is first region information associated with a detection target of the first ultrasound image data; and second ground truth data that is first position information associated with the detection target of the first ultrasound image data or that is second region information based on the first position information.