200 related articles for article (PubMed ID: 32948938)
1. Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study.
Watanabe H; Ariji Y; Fukuda M; Kuwada C; Kise Y; Nozawa M; Sugita Y; Ariji E
Oral Radiol; 2021 Jul; 37(3):487-493. PubMed ID: 32948938
[TBL] [Abstract][Full Text] [Related]
2. Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs.
Kuwana R; Ariji Y; Fukuda M; Kise Y; Nozawa M; Kuwada C; Muramatsu C; Katsumata A; Fujita H; Ariji E
Dentomaxillofac Radiol; 2021 Jan; 50(1):20200171. PubMed ID: 32618480
[TBL] [Abstract][Full Text] [Related]
3. Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique.
Ariji Y; Yanashita Y; Kutsuna S; Muramatsu C; Fukuda M; Kise Y; Nozawa M; Kuwada C; Fujita H; Katsumata A; Ariji E
Oral Surg Oral Med Oral Pathol Oral Radiol; 2019 Oct; 128(4):424-430. PubMed ID: 31320299
[TBL] [Abstract][Full Text] [Related]
4. A deep learning approach for radiological detection and classification of radicular cysts and periapical granulomas.
Ver Berne J; Saadi SB; Politis C; Jacobs R
J Dent; 2023 Aug; 135():104581. PubMed ID: 37295547
[TBL] [Abstract][Full Text] [Related]
5. Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs.
Kuwada C; Ariji Y; Fukuda M; Kise Y; Fujita H; Katsumata A; Ariji E
Oral Surg Oral Med Oral Pathol Oral Radiol; 2020 Oct; 130(4):464-469. PubMed ID: 32507560
[TBL] [Abstract][Full Text] [Related]
6. Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.
Murata M; Ariji Y; Ohashi Y; Kawai T; Fukuda M; Funakoshi T; Kise Y; Nozawa M; Katsumata A; Fujita H; Ariji E
Oral Radiol; 2019 Sep; 35(3):301-307. PubMed ID: 30539342
[TBL] [Abstract][Full Text] [Related]
7. Diagnosis of cystic lesions using panoramic and cone beam computed tomographic images based on deep learning neural network.
Lee JH; Kim DH; Jeong SN
Oral Dis; 2020 Jan; 26(1):152-158. PubMed ID: 31677205
[TBL] [Abstract][Full Text] [Related]
8. Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographs.
Kise Y; Kuwada C; Mori M; Fukuda M; Ariji Y; Ariji E
Imaging Sci Dent; 2024 Mar; 54(1):33-41. PubMed ID: 38571775
[TBL] [Abstract][Full Text] [Related]
9. Transfer learning in diagnosis of maxillary sinusitis using panoramic radiography and conventional radiography.
Kotaki S; Nishiguchi T; Araragi M; Akiyama H; Fukuda M; Ariji E; Ariji Y
Oral Radiol; 2023 Jul; 39(3):467-474. PubMed ID: 36166134
[TBL] [Abstract][Full Text] [Related]
10. Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithm.
Ha EG; Jeon KJ; Choi H; Lee C; Choi YJ; Han SS
Sci Rep; 2023 Feb; 13(1):2734. PubMed ID: 36792647
[TBL] [Abstract][Full Text] [Related]
11. Graphical user interface-based convolutional neural network models for detecting nasopalatine duct cysts using panoramic radiography.
Ito K; Hirahara N; Muraoka H; Sawada E; Tokunaga S; Komatsu T; Kaneda T
Sci Rep; 2024 Apr; 14(1):7699. PubMed ID: 38565866
[TBL] [Abstract][Full Text] [Related]
12. A deep transfer learning approach for the detection and diagnosis of maxillary sinusitis on panoramic radiographs.
Mori M; Ariji Y; Katsumata A; Kawai T; Araki K; Kobayashi K; Ariji E
Odontology; 2021 Oct; 109(4):941-948. PubMed ID: 34023953
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs.
Yang H; Jo E; Kim HJ; Cha IH; Jung YS; Nam W; Kim JY; Kim JK; Kim YH; Oh TG; Han SS; Kim H; Kim D
J Clin Med; 2020 Jun; 9(6):. PubMed ID: 32545602
[TBL] [Abstract][Full Text] [Related]
14. Detection and Segmentation of Radiolucent Lesions in the Lower Jaw on Panoramic Radiographs Using Deep Neural Networks.
Rašić M; Tropčić M; Karlović P; Gabrić D; Subašić M; Knežević P
Medicina (Kaunas); 2023 Dec; 59(12):. PubMed ID: 38138241
[No Abstract] [Full Text] [Related]
15. Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network.
Kwon O; Yong TH; Kang SR; Kim JE; Huh KH; Heo MS; Lee SS; Choi SC; Yi WJ
Dentomaxillofac Radiol; 2020 Dec; 49(8):20200185. PubMed ID: 32574113
[TBL] [Abstract][Full Text] [Related]
16. Automatic detection and classification of nasopalatine duct cyst and periapical cyst on panoramic radiographs using deep convolutional neural networks.
Lee HS; Yang S; Han JY; Kang JH; Kim JE; Huh KH; Yi WJ; Heo MS; Lee SS
Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 Jul; 138(1):184-195. PubMed ID: 38158267
[TBL] [Abstract][Full Text] [Related]
17. Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children.
Kim J; Hwang JJ; Jeong T; Cho BH; Shin J
Dentomaxillofac Radiol; 2022 Sep; 51(7):20210528. PubMed ID: 35731733
[TBL] [Abstract][Full Text] [Related]
18. Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus.
Kuwada C; Ariji Y; Kise Y; Fukuda M; Nishiyama M; Funakoshi T; Takeuchi R; Sana A; Kojima N; Ariji E
Oral Radiol; 2023 Apr; 39(2):349-354. PubMed ID: 35984588
[TBL] [Abstract][Full Text] [Related]
19. Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs.
Tassoker M; Öziç MÜ; Yuce F
Sci Rep; 2024 Feb; 14(1):4437. PubMed ID: 38396289
[TBL] [Abstract][Full Text] [Related]
20. Deep learning neural networks to differentiate Stafne's bone cavity from pathological radiolucent lesions of the mandible in heterogeneous panoramic radiography.
Lee A; Kim MS; Han SS; Park P; Lee C; Yun JP
PLoS One; 2021; 16(7):e0254997. PubMed ID: 34283883
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
