Nec corporation (20240206701). TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES simplified abstract
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TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES
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TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240206701 titled 'TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES
Simplified Explanation: The patent application describes a surgery assistance apparatus, method, and program that enhance the accuracy of endoscopic surgery by identifying a target part image within human-body internal images captured using an endoscope.
Key Features and Innovation:
- Feature amount calculation unit calculates the feature amount of a target part image within the internal image.
- Similarity degree calculation unit compares the feature amounts between different internal images.
- Identification unit identifies the target part image in different internal images based on a predetermined similarity degree threshold.
Potential Applications: This technology can be used in various medical settings to improve the accuracy and precision of endoscopic surgeries.
Problems Solved: This technology addresses the challenge of accurately identifying target part images within human-body internal images during endoscopic surgeries.
Benefits: The technology improves the accuracy of endoscopic surgeries, leading to better patient outcomes and reduced risks during procedures.
Commercial Applications: "Enhancing Accuracy in Endoscopic Surgeries with Target Part Image Identification Technology" can be utilized by medical device companies, hospitals, and surgical centers to improve the quality of endoscopic procedures and enhance patient care.
Prior Art: Readers can explore prior art related to image recognition in medical applications, endoscopic surgery assistance technology, and computer-aided surgery systems for further insights into the development of this innovation.
Frequently Updated Research: Researchers are continually exploring advancements in image recognition algorithms, machine learning techniques, and medical imaging technologies that could further enhance the capabilities of this surgery assistance technology.
Questions about Surgery Assistance Technology: 1. How does the feature amount calculation unit contribute to the accuracy of identifying target part images in endoscopic surgeries? 2. What are the potential implications of using this technology in other medical imaging applications beyond endoscopic surgery?
Original Abstract Submitted
provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. a surgery assistance apparatus includes a feature amount calculation unit that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.
