Dental caries in bitewing radiographs

The dataset contains 100 images of bitewing radiographs, each image showing several human teeth. Carious lesions were annotated by rectangular bounding boxes drawn around the lesions by 8 annotators - 5 experienced and 3 less experienced dentists. Images are of size 1068x847 pixels, sometimes with black top and bottom margins, in the PNG format. Annotations are in the COCO JSON format and contain the bounding boxes created by all annotators. The data can be used for evaluating the variability between human annotators as well as to evaluate machine learning algorithms for carious lesion detection. An article "Tichý, Kunt, Nagyová, Kybic: Automatic caries detection in bitewing radiographs. Part II: Experimental comparison" using this dataset was submitted to the Clincial Oral Investigations journal.

本数据集包含100张牙翼片X光片（bitewing radiographs），每张图像均呈现多颗人类牙齿。龋损（carious lesions）的标注由8名标注人员完成，其中5名为经验丰富的牙医，3名为经验相对不足的牙医，标注方式为在病变区域绘制矩形边界框。图像分辨率为1068×847像素，部分图像带有上下黑色边距，文件格式为PNG。标注文件采用COCO JSON格式，收录了所有标注人员绘制的边界框信息。该数据集既可用于评估人类标注人员之间的标注差异，也可用于评估用于龋损检测的机器学习算法性能。使用本数据集的论文《"Tichý, Kunt, Nagyová, Kybic: Automatic caries detection in bitewing radiographs. Part II: Experimental comparison"》已提交至《Clincial Oral Investigations》期刊。

搜集汇总

背景与挑战

背景概述

该数据集包含100张咬翼X光片图像，标注了龋齿病变的边界框，由8位不同经验的牙医标注，适用于评估标注者差异和机器学习算法性能。