Bitewing Radiology Dataset

by Ching-Wei Wang,Cheng-Ta Huang,Jia-Hong Lee,Chung-Hsing Li,Sheng-Wei Chang,Ming-Jhih siao,Tat-Ming Lai,Bulat Ibragimov,Tomaz Vrtovec,Olaf Ronneberger,Phiipp Fischer,Tim F Cootes,Claudia LindnerUnknown

Bitewing Radiology Dataset

Dental caries is a transmissible bacterial disease of the teeth that would destructs the structure of teeth. The dentist has approached diagnosing and treating dental caries based mostly on radiographs. While dental caries is a disease process, the term is routinely used to describe radiographic radiolucencies. Radiographic examination can improve detection and diagnostic of the earliest sign of dental caries’ demineralization. Automated caries lesion detection technologies provide potential diagnostic data for dental practitioners and assist identifying signs of various diseases. However, accurate and objective methods for radiographic caries diagnosis are poorly explored. Therefore, the aim of this challenge is to investigate possible automated methods for detection of caries in bitewing radiography. There are 120 bitewing images collected from 120 patients. In stage 1, we will release 40 images with ground truth data for Training data and 40 images for Test1 data before the workshop. In stage 2, 40 images of Test2 data will be released for an onsite competition. An ethical approval is approved for the study (IRB Number 1-101-05-074), by the research ethics committee of the Tri-Service General Hospital in Taipei, Taiwan.

Dataset Attributes

Label SVG
TasksSegmentation
Label SVG
CategoriesHealth
Label SVG
SensorX-ray

Class Labels

cariesenameldentinpulpcrownrestorationroot canal treatment