18680333. ESTIMATION APPARATUS, ESTIMATION SYSTEM, AND COMPUTER-READABLE NON-TRANSITORY MEDIUM STORING ESTIMATION PROGRAM simplified abstract (KYOCERA CORPORATION)
ESTIMATION APPARATUS, ESTIMATION SYSTEM, AND COMPUTER-READABLE NON-TRANSITORY MEDIUM STORING ESTIMATION PROGRAM
Organization Name
Inventor(s)
Kenichi Watanabe of Tokyo (JP)
Masayuki Kyomoto of Ritto-shi (JP)
ESTIMATION APPARATUS, ESTIMATION SYSTEM, AND COMPUTER-READABLE NON-TRANSITORY MEDIUM STORING ESTIMATION PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18680333 titled 'ESTIMATION APPARATUS, ESTIMATION SYSTEM, AND COMPUTER-READABLE NON-TRANSITORY MEDIUM STORING ESTIMATION PROGRAM
The abstract describes an estimation apparatus that can determine bone density from input information, including an image with a bone, using an approximator with learned parameters.
- Input unit for receiving information, including images with bones
- Approximator to estimate bone density using learned parameters
- Estimation result related to bone density obtained from input information
- Focus on bone density estimation from images
- Utilizes learned parameters for accurate estimations
Potential Applications: - Medical imaging for bone density assessment - Osteoporosis diagnosis and monitoring - Orthopedic surgery planning
Problems Solved: - Efficient and accurate bone density estimation from images - Streamlining medical imaging processes - Enhancing diagnostic capabilities in orthopedics
Benefits: - Improved accuracy in bone density assessment - Faster diagnosis and treatment planning - Enhanced patient care in orthopedic settings
Commercial Applications: Title: "Advanced Bone Density Estimation Technology for Medical Imaging" This technology can be used in medical imaging devices for bone density assessment, benefiting healthcare providers, orthopedic specialists, and patients. It can lead to more accurate diagnoses, personalized treatment plans, and improved patient outcomes.
Questions about Bone Density Estimation Technology: 1. How does this technology compare to traditional methods of bone density assessment? This technology offers a more efficient and accurate way to estimate bone density from images, providing valuable insights for medical professionals.
2. What are the potential limitations of using an approximator with learned parameters for bone density estimation? While the approximator with learned parameters can enhance accuracy, there may be challenges in training and updating the parameters to adapt to different bone structures and conditions.
Original Abstract Submitted
An estimation apparatus includes an input unit and an approximator. Input information including an image in which a bone appears is input into the input unit. The approximator is configured to determine an estimation result related to bone density of the bone from the input information. The approximator includes a learned parameter to obtain the estimation result.
