Fig. 2 | Scientific Reports

Fig. 2

From: Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images

Fig. 2

Flowchart of the steps followed in the present study. In the first step, coronal CBCT images were preprocessed. This was followed by image augmentation (rotation, shift width, zoom). In the next step, fine-tuning of the base model and custom layers was carried out. In the last step the classification output (normal = without AO, abnormal = with AO) of the model was obtained.

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