KR-20260062547-A - REAL-TIME CERVICAL IMAGING ASSISTANCE SYSTEM BASED ON COMPUTER VISION ALGORITHMS AND ARTIFICIAL INTELLIGENCE

KR20260062547AKR 20260062547 AKR20260062547 AKR 20260062547AKR-20260062547-A

Abstract

The present invention relates to a real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, and more specifically, to a real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, comprising: an image brightness analysis unit that acquires a real-time camera image captured from a cervical imaging device and performs image brightness analysis through analysis processing of the acquired real-time camera image; a cervical position and focus detection unit that performs cervical position and focus detection within the real-time camera image captured from the cervical imaging device; and a display that provides visualization of the analysis results of the image brightness analysis unit and the cervical position and focus detection unit. According to the real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence proposed in the present invention, by comprising an image brightness analysis unit that acquires a real-time camera image captured from a cervical imaging device and performs image brightness analysis through analysis processing of the acquired real-time camera image, a cervical position and focus detection unit that performs cervical position and focus detection within the real-time camera image captured from the cervical imaging device, and a display that provides visualization of the analysis results of the image brightness analysis unit and the cervical position and focus detection unit, it is possible to analyze whether there are brightness abnormalities, cervical position abnormalities, or focus abnormalities in real time and to provide visualization of the analysis results through the real-time cervical imaging assistance system that is mounted on and executed on the device with the real-time camera image captured from the cervical imaging device. In addition, according to the real-time cervical imaging assistance system based on the computer vision algorithm and artificial intelligence of the present invention, real-time camera images captured by a cervical imaging device are mounted on the device and executed to analyze in real-time whether there are abnormalities in brightness, cervical position, or focus, and to provide visualized analysis results. This enables assistance in enabling the user to properly photograph the cervix by adjusting the camera and lighting of the cervical imaging device based on the analysis results. Furthermore, according to the real-time cervical imaging assistance system based on the computer vision algorithm and artificial intelligence of the present invention, by assisting the user to properly image the cervix through the adjustment of the camera and lighting of the cervical imaging device, it is possible to capture cervical images of excellent quality by assisting in proper cervical imaging while capturing the cervix in real-time based on the computer vision algorithm and artificial intelligence.

Inventors

홍승진
강정아
박승용
신현수
김태희

Assignees

(주)엔티엘헬스케어

Dates

Publication Date: 20260507
Application Date: 20241029

Claims (7)

As a real-time cervical imaging assistance system (100) based on computer vision algorithms and artificial intelligence, An image brightness analysis unit (110) that acquires a real-time camera image captured from a cervical imaging device (101) and performs image brightness analysis through analysis processing of the acquired real-time camera image; A cervical position and focus detection unit (120) that performs cervical position and focus detection within a real-time camera image captured from the above cervical imaging device (101); and A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by including a display (130) that provides visualization of the analysis results of the image brightness analysis unit (110) and the cervical position and focus detection unit (120).
In paragraph 1, the image brightness analysis unit (110) is, A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by being composed of a brightness abnormality detection model that performs image brightness analysis through analysis processing of real-time camera images captured from the above-mentioned cervical imaging device (101).
In paragraph 2, the brightness anomaly detection model is, A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by analyzing whether there is an abnormality in the brightness of the real-time camera image and providing the image brightness analysis result so that the user can check it through the display (130).
In any one of paragraphs 1 to 3, the cervical position and focus detection unit (120) is, A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by being composed of a cervical position and focus detection model that performs cervical position and focus detection within a real-time camera image captured from the above cervical imaging device (101).
In paragraph 4, the above-mentioned cervical position and focus detection model is, A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by providing an analysis result visualized on the display (130) through an analysis result visualization process, in which the position and focus of the cervix are detected within a real-time camera image captured from the cervical imaging device (101).
In paragraph 5, the above-mentioned cervical position and focus detection model is, A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by being trained through data from a cervical position and focus status DB (121) and an object detection deep learning model learning algorithm.
In paragraph 6, the above real-time cervical imaging assistance system (100) is, A real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence, characterized by being mounted on the cervical imaging device (101) as an on-device and functioning to assist in cervical imaging by adjusting the camera and lighting of the cervical imaging device (101) based on detection analysis of whether there is an abnormality in the brightness of the real-time camera image, the position of the cervix, and whether there is focus.

Description

Real-time Cervical Imaging Assistance System Based on Computer Vision Algorithms and Artificial Intelligence The present invention relates to a real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence. More specifically, it relates to a real-time cervical imaging assistance system based on computer vision algorithms and artificial intelligence that analyzes in real-time whether there are brightness anomalies, cervical position anomalies, and focus anomalies through a real-time cervical imaging assistance system that is mounted on and executed on a device and captures real-time camera images captured by a cervical imaging device, and visualizes and provides the analysis results. The content described in this section merely provides background information regarding an embodiment of the present invention and does not constitute prior art. Cervical cancer, which is the second most common cancer among women worldwide, is a cancer that can be diagnosed early through regular screenings. Although the most basic screening method for cervical cancer is the cytology test, it has a high rate of misdiagnosis with a sensitivity of 50–60%, so a screening method that can complement this is needed. Currently, to complement cytology, a method of interpreting images by observing the presence or absence of morphological abnormalities in the cervix is used; however, this method has limitations as it relies on the human eye to diagnose captured cervical images, being subjective and not immediate. Recently, with the advancement of artificial intelligence technology, research is underway to apply deep learning techniques to cervical image interpretation. However, there are still no significant research results, and sufficient accuracy has not yet been secured. Furthermore, due to a lack of consideration for use in medically underserved regions such as Africa and India, the technology is not being utilized as effectively as expected. Therefore, there is a need to develop a system that assists in the proper imaging of the cervix to improve the accuracy of cervical image interpretation and enable effective use in medically underserved areas. Furthermore, a cervical imaging device, which is a standard piece of gynecological medical equipment, is designed to magnify and photograph a woman's cervix to visually assess the condition of uterine diseases. Since the inside of the uterus is dark due to its anatomical structure, lighting plays a crucial role in clearly photographing the interior. Thus, while a cervical imaging device requires a properly captured image of the cervix for accurate image interpretation, conventional devices capture images without analyzing the captured video in real-time to adjust brightness, precise position, and focus. Consequently, it is difficult to obtain an accurate image of the cervix through visual analysis alone, which presents a limitation that makes accurate diagnosis of the cervix difficult. Korean Patent Publication No. 10-2011-0108905 is disclosed as a prior art document. The aforementioned background technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and it cannot be considered as publicly known technology disclosed to the general public prior to the filing of the present invention. FIG. 1 is a diagram illustrating the overall conceptual configuration of a real-time cervical imaging assistance system based on a computer vision algorithm and artificial intelligence according to an embodiment of the present invention. FIG. 2 is a diagram illustrating the configuration of a real-time cervical imaging assistance system based on a computer vision algorithm and artificial intelligence according to an embodiment of the present invention in functional blocks. FIG. 3 is a conceptual block diagram of a real-time cervical imaging assistance system based on a computer vision algorithm and artificial intelligence according to an embodiment of the present invention. FIG. 4 is a diagram illustrating the structure of a cervical position and focus detection model of a real-time cervical imaging assistance system based on a computer vision algorithm and artificial intelligence according to an embodiment of the present invention. FIG. 5 is a diagram illustrating an example of visualization of the analysis results of a cervical position and focus detection unit of a real-time cervical imaging assistance system based on a computer vision algorithm and artificial intelligence according to an embodiment of the present invention. Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearl