Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Eun-Gyu Ha"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract The evaluation of the maxillary sinus is very important in dental practice such as tooth extraction and implantation because of its proximity to the teeth, but it is not easy to evaluate because of the overlapping structures such as the maxi
Externí odkaz:
https://doaj.org/article/15892bc404524c159b7ee4e47ecf8542
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract This study aimed to develop deep learning models that automatically detect impacted mesiodens on periapical radiographs of primary and mixed dentition using the YOLOv3, RetinaNet, and EfficientDet-D3 algorithms and to compare their performan
Externí odkaz:
https://doaj.org/article/c05bbcc20403437da291e0d6dfdc72e9
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the maxillary sinus is required as a cornerstone for diagnosis and
Externí odkaz:
https://doaj.org/article/160c040ee2fc45c0be552df1d1219ea5
Publikováno v:
PLoS ONE, Vol 18, Iss 1 (2023)
Legal age estimation of living individuals is a critically important issue, and radiomics is an emerging research field that extracts quantitative data from medical images. However, no reports have proposed age-related radiomics features of the condy
Externí odkaz:
https://doaj.org/article/6a9ed690f98d4659bca2172f3a95791b
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract This study aimed to develop an artificial intelligence model that can detect mesiodens on panoramic radiographs of various dentition groups. Panoramic radiographs of 612 patients were used for training. A convolutional neural network (CNN) m
Externí odkaz:
https://doaj.org/article/cdeb3f4646034e828793dc6c80919e23
Publikováno v:
Dentomaxillofacial Radiology.
Objectives: Lingual mandibular bone depression (LMBD) is a developmental bony defect in the lingual aspect of the mandible that does not require any surgical treatment. It is sometimes confused with a cyst or another radiolucent pathologic lesion on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92133913c1002e600ae772730447675c
https://doi.org/10.1259/dmfr.20220413
https://doi.org/10.1259/dmfr.20220413
Publikováno v:
Dentomaxillofacial Radiology.
Objective: We aimed to develop and assess the clinical usefulness of a generative adversarial network (GAN) model for improving image quality in panoramic radiography. Methods: Panoramic radiographs obtained at Yonsei University Dental Hospital were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4912e3cf4cbcfd826151377c8a9d2d
https://doi.org/10.1259/dmfr.20230007
https://doi.org/10.1259/dmfr.20230007
Publikováno v:
Imaging science in dentistry. 52(4)
This study proposed a generative adversarial network (GAN) model for T2-weighted image (WI) synthesis from proton density (PD)-WI in a temporomandibular joint (TMJ) magnetic resonance imaging (MRI) protocol.From January to November 2019, MRI scans fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da85a8d9a0f6706a9585740c4f6fb9fe
https://pubmed.ncbi.nlm.nih.gov/36605858
https://pubmed.ncbi.nlm.nih.gov/36605858
Publikováno v:
Dentomaxillofac Radiol
Objectives: This study aimed to develop a fully automated human identification method based on a convolutional neural network (CNN) with a large-scale dental panoramic radiograph (DPR) data set. Methods: In total, 2760 DPRs from 746 subjects who had
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef9d24e1877834856ffe1970a256946
https://doi.org/10.1259/dmfr.20210383
https://doi.org/10.1259/dmfr.20210383
Autor:
Kug Jin Jeon, Young Hyun Kim, Eun-Gyu Ha, Han Seung Choi, Hyung-Joon Ahn, Jeong Ryong Lee, Dosik Hwang, Sang-Sun Han
Publikováno v:
Quant Imaging Med Surg
BACKGROUND: Temporomandibular joint disorder (TMD), which is a broad category encompassing disc displacement, is a common condition with an increasing prevalence. This study aimed to develop an automated movement tracing algorithm for mouth opening a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f22c809bd28f8ad0fa7e886a4c46c2
https://pubmed.ncbi.nlm.nih.gov/35284273
https://pubmed.ncbi.nlm.nih.gov/35284273