Deep learning-based apical lesion segmentation from panoramic radiographs-Reference-Cited by-同舟云学术

Deep learning-based apical lesion segmentation from panoramic radiographs

Published:2022 Issue:4 Volume:52 Page:351
ISSN:2233-7822
Container-title:Imaging Science in Dentistry
language:en
Short-container-title:Imaging Sci Dent

Author:

Song Il-Seok¹^ORCID,Shin Hak-Kyun²^ORCID,Kang Ju-Hee¹^ORCID,Kim Jo-Eun¹^ORCID,Huh Kyung-Hoe¹^ORCID,Yi Won-Jin¹^ORCID,Lee Sam-Sun¹^ORCID,Heo Min-Suk¹^ORCID

Affiliation:

1. Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.

2. AI Research Center, DDH Incorporation, Seoul, Korea.

Funder

Seoul National University Dental Hospital

DDH Research Center

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.20220078

Reference20 articles.

1. Diagnostic Accuracy of Cone-beam Computed Tomography and Conventional Radiography on Apical Periodontitis: A Systematic Review and Meta-analysis

2. Assessment of panoramic radiography as a national oral examination tool: review of the literature

3. Is Panoramic Radiography an Accurate Imaging Technique for the Detection of Endodontically Treated Asymptomatic Apical Periodontitis?

4. Accuracy of Orthopantomography for Apical Periodontitis without Endodontic Treatment

5. Cone-beam Computed Tomography Uses in Clinical Endodontics: Observer Variability in Detecting Periapical Lesions

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1. Precision Medicine for Apical Lesions and Peri-Endo Combined Lesions Based on Transfer Learning Using Periapical Radiographs;Bioengineering;2024-08-29

2. Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis;Journal of Dentistry;2024-08

3. Artificial intelligence in endodontics: Data preparation, clinical applications, ethical considerations, limitations, and future directions;International Endodontic Journal;2024-07-29

4. An artificial intelligence grading system of apical periodontitis in cone-beam computed tomography data;Dentomaxillofacial Radiology;2024-07-03

5. A Dataset of apical periodontitis lesions in panoramic radiographs for deep-learning-based classification and detection;Data in Brief;2024-06