DENTEX CHALLENGE 2023

Dental Enumeration and Diagnosis on Panoramic X-rays¶

PUBLICATION POLICY¶

In order to be considered for evaluation on the final test set, participants are required to submit a method description paper, which should follow the Springer Lecture Notes in Computer Science format. The method description paper should detail the key steps taken to develop the method used on the final test set, with particular emphasis on the following aspects:

1. Data preprocessing and augmentation techniques employed
2. Method description, including any novel contributions or modifications to existing approaches
3. Post-processing steps, if any were applied
4. Results analysis, including quantitative and qualitative assessment metrics
5. A link to the public code repository that implements the method described in the paper

To facilitate easy access and review by the community, each method description paper must be uploaded to a pre-print platform such as ArXiv, and a hyperlink to the pre-print paper should be provided when submitting the final entry. Only those submissions that are linked to a pre-print paper will be considered for evaluation on the final leaderboard.

CHALLENGE PAPER¶

After the conclusion of MICCAI23, the challenge organizers will collate the results and prepare a challenge paper for submission to relevant academic journals such as IEEE TMI, MEDIA, LNCS issue, or similar.

All co-authors (up to a maximum of 5) of the each ArXiv paper submitted in the final stage will be eligible for co-authorship in the challenge paper.

Additionally, participating teams are encouraged to publish their own results separately in academic journals or conference proceedings to disseminate their findings and contribute to the wider research community.

CITING DENTEX¶

Please use the following references:

1. @article{hamamci2023dentex, title={DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays}, author={Hamamci, Ibrahim Ethem and Er, Sezgin and Simsar, Enis and Yuksel, Atif Emre and Gultekin, Sadullah and Ozdemir, Serife Damla and Yang, Kaiyuan and Li, Hongwei Bran and Pati, Sarthak and Stadlinger, Bernd and others}, journal={arXiv preprint arXiv:2305.19112}, year={2023} }

2. @article{hamamci2023diffusion,

   ```
     title={Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays},
     author={Hamamci, Ibrahim Ethem and Er, Sezgin and Simsar, Enis and Sekuboyina, Anjany and Gundogar, Mustafa and Stadlinger, Bernd and Mehl, Albert and Menze, Bjoern},
     journal={arXiv preprint arXiv:2303.06500},
     year={2023}
   }
   ```