18587853. MEDICAL IMAGE PROCESSING APPARATUS, HEPATIC SEGMENT DIVISION METHOD, AND PROGRAM simplified abstract (FUJIFILM Corporation)
Contents
MEDICAL IMAGE PROCESSING APPARATUS, HEPATIC SEGMENT DIVISION METHOD, AND PROGRAM
Organization Name
Inventor(s)
Kiyoshi Hasegawa of Tokyo (JP)
MEDICAL IMAGE PROCESSING APPARATUS, HEPATIC SEGMENT DIVISION METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18587853 titled 'MEDICAL IMAGE PROCESSING APPARATUS, HEPATIC SEGMENT DIVISION METHOD, AND PROGRAM
Simplified Explanation: The medical image processing apparatus uses a trained model to label portal vein branches in liver images and segment the liver based on these labels.
- Trained model generated using machine learning with liver images and portal vein branch labeling data
- Assigns portal vein branch labels to image unit elements in a second image region
- Divides the liver region in the second input data into hepatic segments based on the assigned portal vein branch labels
Key Features and Innovation:
- Utilizes machine learning to label portal vein branches in liver images
- Segments the liver based on these labels for more accurate analysis
- Improves medical image processing accuracy and efficiency
Potential Applications:
- Medical imaging analysis and diagnosis
- Liver disease detection and monitoring
- Surgical planning and navigation
Problems Solved:
- Enhances accuracy in liver image analysis
- Facilitates precise liver segmentation for medical purposes
- Improves efficiency in medical image processing
Benefits:
- More accurate and efficient liver image analysis
- Enhanced diagnostic capabilities for liver diseases
- Improved surgical planning and navigation
Commercial Applications: Potential commercial applications include:
- Medical imaging software development
- Healthcare technology solutions
- Research and development in liver disease diagnostics
Prior Art: Prior art related to this technology may include:
- Machine learning models for medical image analysis
- Liver segmentation algorithms in medical imaging software
Frequently Updated Research: Stay updated on advancements in:
- Machine learning in medical imaging
- Liver disease diagnosis and treatment research
Questions about Medical Image Processing Technology: 1. How does the trained model improve accuracy in liver image analysis? 2. What are the potential commercial applications of this technology?
Original Abstract Submitted
A medical image processing apparatus employs a trained model generated by performing machine learning using training data that includes first input data including a first image regarding a liver, and portal vein branch labeling data in which a portal vein branch label is attached to a portal vein region in the liver in the first image for each portal vein branch corresponding to a hepatic segment. The medical image processing apparatus uses the trained model to assign the portal vein branch label to each image unit element of a second image region including at least a liver region of the second image included in a second input data which is the same type as the first input data, and divides the liver region included in the second input data into hepatic segments based on the portal vein branch label assigned to each image unit element of the second image region.
