Images have been divided into two groups, real images and mask images, at 256 pixels on the x-axis of each image. The U-Net architecture* has been implemented and trained with train images. (* U-Net ...

UNet++, a convolutional neural network dedicated for biomedical image segmentation, was designed, and applied in 2018 by (Zhou et al., 2018). UNet++ was basically designed to overcome some of the ...

Therefore, in the realm of dental disease diagnosis, image segmentation plays a crucial role in addressing the difficulties faced by dentists worldwide when diagnosing dental diseases with the naked ...

Deep learning has an enormous impact on medical image analysis. Many computer-aided diagnostic systems equipped with deep networks are rapidly reducing human intervention in healthcare. Among several ...