Nec corporation (20240206702). TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES simplified abstract

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TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES

Organization Name

nec corporation

Inventor(s)

Masahiro Saikou of Tokyo (JP)

TARGET PART IDENTIFICATION AMONG HUMAN-BODY INTERNAL IMAGES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240206702 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 human-body internal image.
  • Similarity degree calculation unit calculates the similarity degree of feature amounts between different human-body internal images.
  • Identification unit identifies the target part image in different human-body internal images if the similarity degree is above a predetermined value.

Potential Applications: This technology can be used in various medical settings to improve the accuracy and efficiency 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 potentially reducing the risk of complications.

Commercial Applications: "Enhancing Endoscopic Surgery Accuracy through Target Part Image Identification" can be utilized in hospitals, surgical centers, and other medical facilities to improve the quality of endoscopic procedures.

Prior Art: Researchers interested in this technology may want to explore prior art related to image recognition in medical applications and endoscopic surgery assistance systems.

Frequently Updated Research: Researchers in the field of medical imaging and surgical assistance systems may be conducting ongoing studies to further enhance the accuracy and efficiency of endoscopic surgeries.

Questions about Endoscopic Surgery Accuracy through Target Part Image Identification: 1. How does the feature amount calculation unit contribute to the accuracy of identifying target part images? 2. What are the potential implications of using this technology in various medical settings?


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.