276 related articles for article (PubMed ID: 33651298)
1. Dental disease detection on periapical radiographs based on deep convolutional neural networks.
Chen H; Li H; Zhao Y; Zhao J; Wang Y
Int J Comput Assist Radiol Surg; 2021 Apr; 16(4):649-661. PubMed ID: 33651298
[TBL] [Abstract][Full Text] [Related]
2. Deep learning for automated detection and numbering of permanent teeth on panoramic images.
Estai M; Tennant M; Gebauer D; Brostek A; Vignarajan J; Mehdizadeh M; Saha S
Dentomaxillofac Radiol; 2022 Feb; 51(2):20210296. PubMed ID: 34644152
[TBL] [Abstract][Full Text] [Related]
3. CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks.
Wang H; Gu H; Qin P; Wang J
PLoS One; 2020; 15(11):e0242013. PubMed ID: 33166371
[TBL] [Abstract][Full Text] [Related]
4. Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.
Lee JH; Han SS; Kim YH; Lee C; Kim I
Oral Surg Oral Med Oral Pathol Oral Radiol; 2020 Jun; 129(6):635-642. PubMed ID: 31992524
[TBL] [Abstract][Full Text] [Related]
5. Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset.
Bonfanti-Gris M; Herrera A; Paraíso-Medina S; Alonso-Calvo R; Martínez-Rus F; Pradíes G
J Dent; 2024 May; 144():104891. PubMed ID: 38367827
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-based apical lesion segmentation from panoramic radiographs.
Song IS; Shin HK; Kang JH; Kim JE; Huh KH; Yi WJ; Lee SS; Heo MS
Imaging Sci Dent; 2022 Dec; 52(4):351-357. PubMed ID: 36605863
[TBL] [Abstract][Full Text] [Related]
7. Tooth detection and numbering in panoramic radiographs using convolutional neural networks.
Tuzoff DV; Tuzova LN; Bornstein MM; Krasnov AS; Kharchenko MA; Nikolenko SI; Sveshnikov MM; Bednenko GB
Dentomaxillofac Radiol; 2019 May; 48(4):20180051. PubMed ID: 30835551
[TBL] [Abstract][Full Text] [Related]
8. Multi-modal deep learning for automated assembly of periapical radiographs.
Pfänder L; Schneider L; Büttner M; Krois J; Meyer-Lueckel H; Schwendicke F
J Dent; 2023 Aug; 135():104588. PubMed ID: 37348642
[TBL] [Abstract][Full Text] [Related]
9. Detection of the separated endodontic instrument on periapical radiographs using a deep learning-based convolutional neural network algorithm.
Özbay Y; Kazangirler BY; Özcan C; Pekince A
Aust Endod J; 2024 Apr; 50(1):131-139. PubMed ID: 38062627
[TBL] [Abstract][Full Text] [Related]
10. A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs.
Bayrakdar IS; Orhan K; Çelik Ö; Bilgir E; Sağlam H; Kaplan FA; Görür SA; Odabaş A; Aslan AF; Różyło-Kalinowska I
Biomed Res Int; 2022; 2022():7035367. PubMed ID: 35075428
[TBL] [Abstract][Full Text] [Related]
11. A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films.
Chen H; Zhang K; Lyu P; Li H; Zhang L; Wu J; Lee CH
Sci Rep; 2019 Mar; 9(1):3840. PubMed ID: 30846758
[TBL] [Abstract][Full Text] [Related]
12. Detection of Periodontal Bone Loss on Periapical Radiographs-A Diagnostic Study Using Different Convolutional Neural Networks.
Hoss P; Meyer O; Wölfle UC; Wülk A; Meusburger T; Meier L; Hickel R; Gruhn V; Hesenius M; Kühnisch J; Dujic H
J Clin Med; 2023 Nov; 12(22):. PubMed ID: 38002799
[TBL] [Abstract][Full Text] [Related]
13. Convolutional neural networks for dental image diagnostics: A scoping review.
Schwendicke F; Golla T; Dreher M; Krois J
J Dent; 2019 Dec; 91():103226. PubMed ID: 31704386
[TBL] [Abstract][Full Text] [Related]
14. Performance comparison of multifarious deep networks on caries detection with tooth X-ray images.
Ying S; Huang F; Shen X; Liu W; He F
J Dent; 2024 May; 144():104970. PubMed ID: 38556194
[TBL] [Abstract][Full Text] [Related]
15. Automatic caries detection in bitewing radiographs: part I-deep learning.
Kunt L; Kybic J; Nagyová V; Tichý A
Clin Oral Investig; 2023 Dec; 27(12):7463-7471. PubMed ID: 37968358
[TBL] [Abstract][Full Text] [Related]
16. Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study.
Lee JH; Jeong SN
Medicine (Baltimore); 2020 Jun; 99(26):e20787. PubMed ID: 32590758
[TBL] [Abstract][Full Text] [Related]
17. Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.
Yamada Y; Maki S; Kishida S; Nagai H; Arima J; Yamakawa N; Iijima Y; Shiko Y; Kawasaki Y; Kotani T; Shiga Y; Inage K; Orita S; Eguchi Y; Takahashi H; Yamashita T; Minami S; Ohtori S
Acta Orthop; 2020 Dec; 91(6):699-704. PubMed ID: 32783544
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers.
Pauwels R; Brasil DM; Yamasaki MC; Jacobs R; Bosmans H; Freitas DQ; Haiter-Neto F
Oral Surg Oral Med Oral Pathol Oral Radiol; 2021 May; 131(5):610-616. PubMed ID: 33653645
[TBL] [Abstract][Full Text] [Related]
19. Accurate detection for dental implant and peri-implant tissue by transfer learning of faster R-CNN: a diagnostic accuracy study.
Jang WS; Kim S; Yun PS; Jang HS; Seong YW; Yang HS; Chang JS
BMC Oral Health; 2022 Dec; 22(1):591. PubMed ID: 36494645
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence for caries and periapical periodontitis detection.
Li S; Liu J; Zhou Z; Zhou Z; Wu X; Li Y; Wang S; Liao W; Ying S; Zhao Z
J Dent; 2022 Jul; 122():104107. PubMed ID: 35341892
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]