\n We conducted rounds of data collection, in order to acquire the\n necessary data to train the AI models. We have collected anonymised\n radiographs from a range of trusted dentists, however these radiographs\n are unfortunately unlabelled. We have collected a total of 7,145\n bitewing radiographs, 666 panoramic radiographs, and 148 CBCT scans.\n
\n\n In order to label these radiographs, we have launched a Zooniverse\n project in order to use members of the public, with an interest in the\n project, to apply bounding boxes and labels to the data. We have seen\n good success in this project so far and have completed the first round\n of labelling with over 2,700 radiographs labelled.\n
\n\n If you are interested in participating the second round of labelling,\n please visit our Zooniverse Project at:\n
\n www.zooniverse.org/projects/huhui/dental-disease-detection\n \n\n

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\n\n We are also developing our own labelling and annotation web-based tool,\n called DR CAPS. This web application gives us the freedom to implement\n additional features to assist in the labelling of diseases, thus\n improving the quality of the labels. Some of these features include\n active learning, ai assisted labelling, contrast/brightness adjustment,\n and many more features.\n
\n\n In order to maximise the quality of the labels, this web app is only\n available to dentists, dental students, and dental professionals. So, if\n you have dental training and are interested in joining the DR CAPS\n expert data collection, then please email us at\n
dental.disease.detection@gmail.com\n
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