Lee, K.-H.; Lee, R.-W.; Yun, J.-S.; Kim, M.-S.; Choi, H.-S.
Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis. Diagnostics 2024, 14, 2451.
https://doi.org/10.3390/diagnostics14212451
AMA Style
Lee K-H, Lee R-W, Yun J-S, Kim M-S, Choi H-S.
Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis. Diagnostics. 2024; 14(21):2451.
https://doi.org/10.3390/diagnostics14212451
Chicago/Turabian Style
Lee, Kyu-Hong, Ro-Woon Lee, Jae-Sung Yun, Myung-Sub Kim, and Hyun-Seok Choi.
2024. "Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis" Diagnostics 14, no. 21: 2451.
https://doi.org/10.3390/diagnostics14212451
APA Style
Lee, K. -H., Lee, R. -W., Yun, J. -S., Kim, M. -S., & Choi, H. -S.
(2024). Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis. Diagnostics, 14(21), 2451.
https://doi.org/10.3390/diagnostics14212451