Title:
ARTIFICIAL INTELLIGENCE-BASED METHOD AND SYSTEM FOR REAL-TIME AUTOMATIC X-RAY DIAGNOSIS OF SOLITARY PULMONARY NODULE
Document Type and Number:
WIPO Patent Application WO/2022/145899
Kind Code:
A1
Abstract:
Provided are an artificial intelligence-based x-ray diagnosis method and system, the method including an image preprocessing process including image enhancement for detecting a solitary pulmonary nodule from a medical raw image acquired on site at a medical facility by means of a digital X-ray detection sensor. A system for the real-time automatic X-ray diagnosis of a solitary pulmonary nodule according to an embodiment of the present invention comprises: an image acquisition unit which acquires an X-ray image of a patient; an image diagnosis unit which divides the X-ray image received from the image acquisition unit into a plurality of sub-images, and diagnoses whether the patient has a solitary pulmonary nodule on the basis of an image corresponding to an area of interest among the divided sub-images; and an image viewer unit which receives the diagnosis result from the image diagnosis unit and displays the result on a screen. Accordingly, solitary pulmonary nodules can be detected using the medical raw image acquired on site at a medical facility by means of the digital X-ray detection sensor. In addition, according to embodiments of the present invention, information loss can be prevented in an image processing process for diagnosing an image by using an artificial intelligence-based learning model, and the efficiency of detecting small nodules of about 1.5 to 3 mm in size can be maximized.
More Like This:
Inventors:
SHIM WOO JUNG (KR)
Application Number:
PCT/KR2021/019846
Publication Date:
July 07, 2022
Filing Date:
December 24, 2021
Export Citation:
Assignee:
RADISEN CO LTD (KR)
International Classes:
G16H30/40; A61B6/00; G06T5/40; G06T7/11; G06T11/00; G16H30/20; G16H50/20; G16H50/70; G16H70/60
Foreign References:
| KR20190090986A | 2019-08-05 | |||
| US20020172403A1 | 2002-11-21 | |||
| KR20200082660A | 2020-07-08 | |||
| US20050100208A1 | 2005-05-12 |
Other References:
GUODONG ZHANG ; PEIYU YAN ; HONG ZHAO ; XIN ZHANG: "A Contrast Enhancement Algorithm for Low-Dose CT Images Based on Local Histogram Equalization", BIOINFORMATICS AND BIOMEDICAL ENGINEERING, 2008. ICBBE 2008. THE 2ND INTERNATIONAL CONFERENCE ON, IEEE, PISCATAWAY, NJ, USA, 16 May 2008 (2008-05-16), Piscataway, NJ, USA , pages 2462 - 2465, XP031267834, ISBN: 978-1-4244-1747-6
Attorney, Agent or Firm:
YANG, Seong Hwan (KR)
Download PDF: