Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques-Reference-Cited by-同舟云学术

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Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques

Published:2023-12-13 Issue: Volume: Page:1358-1363
ISSN:
Container-title:2023 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
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Author:

Kadi Hocine¹,Sourget Théo²,Kawczynski Marzena³,Bendjama Sara³,Grollemund Bruno³,Bloch-Zupan Agnés⁴

Affiliation:

1. Capgemini Engineering Illkirch -Graffenstaden,Research and Innovation Department,France

2. Universite Rouen Normandie,Department of Computer Science,Rouen,France

3. Universitaires de Strasbourg,Reference Center for Rare Oral and Dental Diseases Hopitaux,Strasbourg,France

4. Universite de Strasbourg,Faculte de Chirurgie Dentaire,Strasbourg,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590067/10590000/10590584.pdf?arnumber=10590584

Reference19 articles.

1. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database

2. A relation-based framework for effective teeth recognition on dental periapical X-rays

3. Numbering teeth in panoramic images: A novel method based on deep learning and heuristic algorithm

4. A study on tooth segmentation and numbering using end-to-end deep neural networks

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