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Erratum : Transfer Learning for Effective Urolithiasis Detection
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Grant/Fund Support: This work was supported by the GRRC program of Gyeonggi Province [GRRC-Gachon2020 (B03), Development of AIbased Healthcare Devices]. This work was supported by Chungnam National University.
관련 논문AI추천
Transfer Learning for Effective Urolithiasis Detection김계환, 김재승, 최형선, 황보택근대한배뇨장애요실금학회 · International Neurourology Journal2023 · 제27권 제2호A Study on the Optimal Artificial Intelligence Model for Determination of Urolithiasis김계환, 윤명석, 은성종, 황보택근대한배뇨장애요실금학회 · International Neurourology Journal2022 · 제26권 제3호Data-Efficient Deep Learning Framework for Urolithiasis Detection Using Transfer and Self-Supervised LearningJae-Seoung Kim, Sung-Jong Eun대한배뇨장애요실금학회 · International Neurourology Journal2025 · 제29권 제1호Development and Evaluation of Urolithiasis Detection Technology Based on a Multimethod Algorithm나용길, 박종목, 은성종대한배뇨장애요실금학회 · International Neurourology Journal2023 · 제27권 제1호Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer Model김재승, 은성종, 최형선, 황보택근대한배뇨장애요실금학회 · International Neurourology Journal2023 · 제27권 제1호New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases박종목, 오진규, 은성종, 이준영대한배뇨장애요실금학회 · International Neurourology Journal2022 · 제26권 제4호
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