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Urinary Stones Segmentation Model and AI Web Application Development in Abdominal CT Images Through Machine Learning
Lee Chung-Sub, Lim Dong-Wook, Noh Si-Hyeong, Kim Tae-Hoon, Park Sung-Bin, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 11, pp. 305-310,
Nov.
2021
https://doi.org/10.3745/KTCCS.2021.10.11.305
Keywords: Urinary Stone, DICOM, Artificial intelligence, Model Serving, Flask
https://doi.org/10.3745/KTCCS.2021.10.11.305
Keywords: Urinary Stone, DICOM, Artificial intelligence, Model Serving, Flask
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KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
