Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 10, pp. 285-290, Oct. 2021
https://doi.org/10.3745/KTCCS.2021.10.10.285,   PDF Download:
Keywords: DICOM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning, Deep Learning
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.


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Cite this article
[IEEE Style]
N. Si-Hyeong, K. Ji-Eon, L. Chungsub, K. Tae-Hoon, K. KyungWon, Y. Kwon-Ha, J. Chang-Won, "Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning," KIPS Transactions on Computer and Communication Systems, vol. 10, no. 10, pp. 285-290, 2021. DOI: https://doi.org/10.3745/KTCCS.2021.10.10.285.

[ACM Style]
Noh Si-Hyeong, Kim Ji-Eon, Lee Chungsub, Kim Tae-Hoon, Kim KyungWon, Yoon Kwon-Ha, and Jeong Chang-Won. 2021. Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning. KIPS Transactions on Computer and Communication Systems, 10, 10, (2021), 285-290. DOI: https://doi.org/10.3745/KTCCS.2021.10.10.285.