Comparison of Multi-Label U-Net and Mask R-CNN for panoramic radiograph segmentation to detect periodontitis-Reference-Cited by-同舟云学术

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Comparison of Multi-Label U-Net and Mask R-CNN for panoramic radiograph segmentation to detect periodontitis

Published:2022 Issue:4 Volume:52 Page:383
ISSN:2233-7822
Container-title:Imaging Science in Dentistry
language:en
Short-container-title:Imaging Sci Dent

Author:

Widyaningrum Rini¹^ORCID,Candradewi Ika²^ORCID,Aji Nur Rahman Ahmad Seno³^ORCID,Aulianisa Rona⁴^ORCID

Affiliation:

1. Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.

2. Department of Computer Science and Electronics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta, Indonesia.

3. Department of Periodontics, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.

4. Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Funder

Dentistry Universitas Gadjah Mada

Publisher

Korean Academy of Oral and Maxillofacial Radiology

Subject

Radiology, Nuclear Medicine and imaging,General Dentistry,Radiological and Ultrasound Technology

Link

https://isdent.org/pdf/10.5624/isd.20220105

Reference27 articles.

1. Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions

2. Validation of a dental image analyzer tool to measure alveolar bone loss in periodontitis patients

3. Detection and diagnosis of periodontal conditions amenable to prevention

4. Influence of residential characteristics on the association between the oral health status and BMI of older adults in Indonesia

5. Bone markers and bone mineral density associates with periodontitis in females with poly-cystic ovarian syndrome

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