TY - GEN
T1 - Line Operator as Preprocessing Method for CNN-based Osteoporosis Detection in Dental Panoramic Radiograph
AU - Adillion, Ilham Gurat
AU - Ishida, Yoshiteru
AU - Arifin, Agus Zainal
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/6/5
Y1 - 2020/6/5
N2 - Osteoporosis is a disease that can be detected via the trabecular bone pattern in Dental Panoramic Radiograph (DPR). Trabecular bone pattern is difficult to see by the naked eye due to the low contrast and low resolution of DPR. This can affect the performance of osteoporosis disease detection using Convolutional Neural Network (CNN). In this paper we propose the use of Line Operator (LO) on DPR images as a preprocessing method to enhance trabecular bone pattern for CNN-based osteoporosis detection. LO is a method that can enhance line-like structures in medical images such as retina and DPR dataset. To study the effect of LO on CNN-based osteoporosis detection, the performance of non-preprocessed images, LO-preprocessed images and LO + histogram equalization pre-processed images was compared. Results showed that LO-preprocessed images give best osteoporosis detection accuracy of 0.875
AB - Osteoporosis is a disease that can be detected via the trabecular bone pattern in Dental Panoramic Radiograph (DPR). Trabecular bone pattern is difficult to see by the naked eye due to the low contrast and low resolution of DPR. This can affect the performance of osteoporosis disease detection using Convolutional Neural Network (CNN). In this paper we propose the use of Line Operator (LO) on DPR images as a preprocessing method to enhance trabecular bone pattern for CNN-based osteoporosis detection. LO is a method that can enhance line-like structures in medical images such as retina and DPR dataset. To study the effect of LO on CNN-based osteoporosis detection, the performance of non-preprocessed images, LO-preprocessed images and LO + histogram equalization pre-processed images was compared. Results showed that LO-preprocessed images give best osteoporosis detection accuracy of 0.875
KW - Dental Panoramic Radiograph
KW - Image Processing
KW - Osteoporosis
UR - http://www.scopus.com/inward/record.url?scp=85090187669&partnerID=8YFLogxK
U2 - 10.1145/3404709.3404767
DO - 10.1145/3404709.3404767
M3 - Conference contribution
AN - SCOPUS:85090187669
T3 - ACM International Conference Proceeding Series
SP - 103
EP - 107
BT - Proceedings of 2020 6th International Conference on Frontiers of Educational Technologies, ICFET 2020 - Workshop 2020 5th International Conference on Knowledge Engineering and Applications, ICKEA 2020
PB - Association for Computing Machinery
T2 - 6th International Conference on Frontiers of Educational Technologies, ICFET 2020 and its Workshop 2020 5th International Conference on Knowledge Engineering and Applications, ICKEA 2020
Y2 - 5 June 2020 through 8 June 2020
ER -