Chinese Journal of Lasers, Volume. 49, Issue 20, 2007207(2022)
Automatic Detection of Dental Lesions Based on Deep Learning
Fig. 4. Comparison of learning rate strategy convergence. (a) Cosine annealing strategy; (b) one-dimensional linear interpolation strategy; (c) step reduction strategy
Fig. 6. Training results display. (a) Bounding box loss; (b) classification loss; (c) confidence loss; (d) precision; (e) recall rate
Fig. 8. Examples, where caries label represents the are is caries and cyst label represents the area is periapical lesion
Fig. 9. Visualization of thermodynamic diagram. (a) Original drawing; (b) thermodynamic diagram
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Feng Liu, Min Han, Jun Wang, Chao Liu. Automatic Detection of Dental Lesions Based on Deep Learning[J]. Chinese Journal of Lasers, 2022, 49(20): 2007207
Category: Biomedical Optical Imaging
Received: May. 19, 2022
Accepted: Jun. 17, 2022
Published Online: Aug. 23, 2022
The Author Email: Min Han (hanmin@sdu.edu.com), Chao Liu (qiluliuchao@sdu.edu.com)