Kim, J.; Ham, W.S.; Koo, K.C.; Lee, J.; Ahn, H.K.; Jeong, J.Y.; Baek, S.Y.; Lee, S.J.; Lee, K.S.
Evaluation of the Diagnostic Efficacy of the AI-Based Software INF-M01 in Detecting Suspicious Areas of Bladder Cancer Using Cystoscopy Images. J. Clin. Med. 2024, 13, 7110.
https://doi.org/10.3390/jcm13237110
AMA Style
Kim J, Ham WS, Koo KC, Lee J, Ahn HK, Jeong JY, Baek SY, Lee SJ, Lee KS.
Evaluation of the Diagnostic Efficacy of the AI-Based Software INF-M01 in Detecting Suspicious Areas of Bladder Cancer Using Cystoscopy Images. Journal of Clinical Medicine. 2024; 13(23):7110.
https://doi.org/10.3390/jcm13237110
Chicago/Turabian Style
Kim, Jongchan, Won Sik Ham, Kyo Chul Koo, Jongsoo Lee, Hyun Kyu Ahn, Jae Yong Jeong, Sang Yeop Baek, Su Jin Lee, and Kwang Suk Lee.
2024. "Evaluation of the Diagnostic Efficacy of the AI-Based Software INF-M01 in Detecting Suspicious Areas of Bladder Cancer Using Cystoscopy Images" Journal of Clinical Medicine 13, no. 23: 7110.
https://doi.org/10.3390/jcm13237110
APA Style
Kim, J., Ham, W. S., Koo, K. C., Lee, J., Ahn, H. K., Jeong, J. Y., Baek, S. Y., Lee, S. J., & Lee, K. S.
(2024). Evaluation of the Diagnostic Efficacy of the AI-Based Software INF-M01 in Detecting Suspicious Areas of Bladder Cancer Using Cystoscopy Images. Journal of Clinical Medicine, 13(23), 7110.
https://doi.org/10.3390/jcm13237110
