Apr 20, 2020 · A total number of 660 edge images were extracted from tertiary dentine images and used Convolutional Neural Network deep learning for training ...

In order to assist doctor, this research proposed implementation of deep learning method to classify pixel-based edge images of tertiary dentine. The method.

This research consists of the analysis of the methods of image recognition, focusing on the problem of food classification, aiming to use the methods in a ...

Deep learning for pixel-based edge models classification of tertiary dentine images. S Riyadi, S Mayanti, C Damarjati, S Puspita. Proceedings of the 3rd ...

Slamet Riyadi, Siti Mayanti, Cahya Damarjati , Sartika Puspita: Deep Learning for Pixel-based Edge Models Classification of Tertiary Dentine Images.

Objectives: Detecting caries lesions is challenging for dentists, and deep learning models may help practitioners to increase accuracy and reliability.

This paper presents a new method for segmentation and object detection of dental radiograph images based on phase congruency.

Riyadi, Deep learning for pixel-based edge models classification of tertiary dentine images, с. 57; Geetha, Dental caries diagnosis in digital radiographs ...

Missing: Edge Tertiary Dentine

In this paper, we propose a unified convolution neural network to improve the diagnostic and treatment performance for dentists using classification from ...