Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images

In this study, 600 oral photograph images were collected retrospectively and grouped into 300 images of OPMDs and 300 images of normal oral mucosa. CNN-based classification models were created using DenseNet-121 and ResNet-50. The detection models were created using Faster R-CNN and YOLOv4.

Source: International Journal of Oral and Maxillofacial Surgery - September 18, 2021 Category: ENT & OMF Authors: K. Warin, W. Limprasert, S. Suebnukarn, S. Jinaporntham, P. Jantana Tags: Research Paper Source Type: research