Fig. 7 | Scientific Reports

Fig. 7

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

Fig. 7

Flow chart showing steps in the training and fine-tuning of the model used in the study. Training and evaluation of the base model was then carried out, followed by unfreezing some of the top layers. Retraining of the whole model was carried out, followed by evaluation. If performance metrics improved, the cycle was continued. The cycle was stopped till no further improvement was exhibited by the model.

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