Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia


KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 233-240, Jul. 2022
https://doi.org/10.3745/KTCCS.2022.11.7.233,   PDF Download:
Keywords: Artificial intelligence, Medical Image, DICOM, CT, Labeling Data, Sarcopenia
Abstract

Most of the recent AI researches has focused on developing AI models. However, recently, artificial intelligence research has gradually changed from model-centric to data-centric, and the importance of learning data is getting a lot of attention based on this trend. However, it takes a lot of time and effort because the preparation of learning data takes up a significant part of the entire process, and the generation of labeling data also differs depending on the purpose of development. Therefore, it is need to develop a tool with various labeling functions to solve the existing unmetneeds. In this paper, we describe a labeling system for creating precise and fast labeling data of medical images. To implement this, a semi-automatic method using Back Projection, Grabcut techniques and an automatic method predicted through a machine learning model were implemented. We not only showed the advantage of running time for the generation of labeling data of the proposed system, but also showed superiority through comparative evaluation of accuracy. In addition, by analyzing the image data set of about 1,000 patients, meaningful diagnostic indexes were presented for men and women in the diagnosis of sarcopenia.


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Cite this article
[IEEE Style]
L. Chung-Sub, L. Dong-Wook, K. Ji-Eon, N. Si-Hyeong, Y. Yeong-Ju, K. Tae-Hoon, Y. Kwon-Ha, J. Chang-Won, "Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia," KIPS Transactions on Computer and Communication Systems, vol. 11, no. 7, pp. 233-240, 2022. DOI: https://doi.org/10.3745/KTCCS.2022.11.7.233.

[ACM Style]
Lee Chung-Sub, Lim Dong-Wook, Kim Ji-Eon, Noh Si-Hyeong, Yu Yeong-Ju, Kim Tae-Hoon, Yoon Kwon-Ha, and Jeong Chang-Won. 2022. Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia. KIPS Transactions on Computer and Communication Systems, 11, 7, (2022), 233-240. DOI: https://doi.org/10.3745/KTCCS.2022.11.7.233.