@article{ce7d3d8743a64838a886512ef791d005,
title = "Detection of Dental Apical Lesions Using CNNs on Periapical Radiograph",
keywords = "biomedical image, periapical image, apical lesion, Gaussian high pass filter, iterative thresholding, deep learning, CNN",
author = "Chun-Wei Li and Szu-Yin Lin and He-Sheng Chou and Tsung-Yi Chen and Yu-An Chen and Sheng-Yu Liu and Yu-Lin Liu and Chiung-An Chen and Yen-Cheng Huang and Shih-Lun Chen and Yi-Cheng Mao and Abu, {Patricia Angela R} and Wei-Yuan Chiang and Wen-Shen Lo",
note = "Li, C.-W., Lin, S.-Y., Chou, H.-S., Chen, T.-Y., Chen, Y.-A., Liu, S.-Y., Liu, Y.-L., Chen, C.-A., Huang, Y.-C., Chen, S.-L., Mao, Y.-C., Abu, P. A. R., Chiang, W.-Y., & Lo, W.-S. (2021). Detection of dental apical lesions using CNNs on periapical radiograph. Sensors, 21(21), 7049. https://doi.org/10.3390/s21217049",
year = "2021",
month = oct,
day = "24",
language = "American English",
journal = "Department of Information Systems & Computer Science Faculty Publications",
}