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국내 논문지

홈 홈 > 연구문헌 > 국내 논문지 > 한국정보처리학회 논문지 > 정보처리학회 논문지 컴퓨터 및 통신시스템

정보처리학회 논문지 컴퓨터 및 통신시스템

Current Result Document : 271 / 272

한글제목(Korean Title) 머신러닝기반 간 경화증 진단을 위한 웹 서비스 개발
영문제목(English Title) Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning
저자(Author) 노시형   김지언   이충섭   김태훈   김경원   윤권하   정창원   Noh Si-Hyeong   Kim Ji-Eon   Lee Chungsub   Kim Tae-Hoon   Kim KyungWon   Yoon Kwon-Ha   Jeong Chang-Won  
원문수록처(Citation) VOL 10 NO. 10 PP. 0285 ~ 0290 (2021. 10)
한글내용
(Korean Abstract)
In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.
영문내용
(English Abstract)
In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.
키워드(Keyword) 의료용 디지털 영상 및 통신 표준   의료빅데이터   인공지능 학습 플랫폼   머신러닝   딥러닝   DICOM   Medical Bigdata   Artificial Intelligence Training Platform   Machine   Deep Learning  
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