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. 2022 Mar 3;12(3):387. doi: 10.3390/jpm12030387

Figure 1.

Figure 1

Workflow diagram of the study plan. In step 1, JBNU dataset including 1193 images for training and 100 images for testing was used to evaluate the performance of the DACFL model in clinical applications. In step 2, 10 images were extracted randomly from JBNU test data to evaluate the effect of DACFL-based support on the clinical skills of beginners in cephalometric diagnosis. Abbreviations: AI, artificial intelligence; DACFL, deep anatomical context feature learning; JBNU, Jeonbuk National University.