Article Versions Notes

Yun C, Eom B, Park S, Kim C, Kim D, Jabeen F, Kim WH, Kim HJ, Kim J. A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography. Sensors. 2023; 23(5):2864. https://doi.org/10.3390/s23052864

Yun, Changhee, Bomi Eom, Sungjun Park, Chanho Kim, Dohwan Kim, Farah Jabeen, Won Hwa Kim, Hye Jung Kim, and Jaeil Kim. 2023. "A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography" Sensors 23, no. 5: 2864. https://doi.org/10.3390/s23052864

Yun, C., Eom, B., Park, S., Kim, C., Kim, D., Jabeen, F., Kim, W. H., Kim, H. J., & Kim, J. (2023). A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography. Sensors, 23(5), 2864. https://doi.org/10.3390/s23052864