212 related articles for article (PubMed ID: 36832177)
1. Tooth Type Enhanced Transformer for Children Caries Diagnosis on Dental Panoramic Radiographs.
Zhou X; Yu G; Yin Q; Yang J; Sun J; Lv S; Shi Q
Diagnostics (Basel); 2023 Feb; 13(4):. PubMed ID: 36832177
[TBL] [Abstract][Full Text] [Related]
2. Context Aware Convolutional Neural Network for Children Caries Diagnosis on Dental Panoramic Radiographs.
Zhou X; Yu G; Yin Q; Liu Y; Zhang Z; Sun J
Comput Math Methods Med; 2022; 2022():6029245. PubMed ID: 36188109
[TBL] [Abstract][Full Text] [Related]
3. Transformer-Based Deep Learning Network for Tooth Segmentation on Panoramic Radiographs.
Sheng C; Wang L; Huang Z; Wang T; Guo Y; Hou W; Xu L; Wang J; Yan X
J Syst Sci Complex; 2023; 36(1):257-272. PubMed ID: 36258771
[TBL] [Abstract][Full Text] [Related]
4. Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet.
Peng L; Wang C; Tian G; Liu G; Li G; Lu Y; Yang J; Chen M; Li Z
Front Microbiol; 2022; 13():995323. PubMed ID: 36212877
[TBL] [Abstract][Full Text] [Related]
5. Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study.
Kim C; Jeong H; Park W; Kim D
JMIR Med Inform; 2022 Oct; 10(10):e38640. PubMed ID: 36315222
[TBL] [Abstract][Full Text] [Related]
6. Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation.
Wu J; Xu Q; Shen Y; Chen W; Xu K; Qi XR
J Clin Med; 2022 Aug; 11(15):. PubMed ID: 35956236
[No Abstract] [Full Text] [Related]
7. A comprehensive artificial intelligence framework for dental diagnosis and charting.
Kabir T; Lee CT; Chen L; Jiang X; Shams S
BMC Oral Health; 2022 Nov; 22(1):480. PubMed ID: 36352390
[TBL] [Abstract][Full Text] [Related]
8. Swin-UNet++: A Nested Swin Transformer Architecture for Location Identification and Morphology Segmentation of Dimples on 2.25Cr1Mo0.25V Fractured Surface.
Liu P; Song Y; Chai M; Han Z; Zhang Y
Materials (Basel); 2021 Dec; 14(24):. PubMed ID: 34947098
[TBL] [Abstract][Full Text] [Related]
9. Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs.
Bayraktar Y; Ayan E
Clin Oral Investig; 2022 Jan; 26(1):623-632. PubMed ID: 34173051
[TBL] [Abstract][Full Text] [Related]
10. Classification of Mobile-Based Oral Cancer Images Using the Vision Transformer and the Swin Transformer.
Song B; Kc DR; Yang RY; Li S; Zhang C; Liang R
Cancers (Basel); 2024 Feb; 16(5):. PubMed ID: 38473348
[TBL] [Abstract][Full Text] [Related]
11. Fine-grained weed recognition using Swin Transformer and two-stage transfer learning.
Wang Y; Zhang S; Dai B; Yang S; Song H
Front Plant Sci; 2023; 14():1134932. PubMed ID: 36993854
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence in the diagnosis of dental diseases on panoramic radiographs: a preliminary study.
Zhu J; Chen Z; Zhao J; Yu Y; Li X; Shi K; Zhang F; Yu F; Shi K; Sun Z; Lin N; Zheng Y
BMC Oral Health; 2023 Jun; 23(1):358. PubMed ID: 37270488
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system.
Başaran M; Çelik Ö; Bayrakdar IS; Bilgir E; Orhan K; Odabaş A; Aslan AF; Jagtap R
Oral Radiol; 2022 Jul; 38(3):363-369. PubMed ID: 34611840
[TBL] [Abstract][Full Text] [Related]
14. A novel collaborative learning model for mixed dentition and fillings segmentation in panoramic radiographs.
Bumann EE; Al-Qarni S; Chandrashekar G; Sabzian R; Bohaty B; Lee Y
J Dent; 2024 Jan; 140():104779. PubMed ID: 38007173
[TBL] [Abstract][Full Text] [Related]
15. Developing deep learning methods for classification of teeth in dental panoramic radiography.
Yilmaz S; Tasyurek M; Amuk M; Celik M; Canger EM
Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 Jul; 138(1):118-127. PubMed ID: 37316425
[TBL] [Abstract][Full Text] [Related]
16. Swin-HSTPS: Research on Target Detection Algorithms for Multi-Source High-Resolution Remote Sensing Images.
Fang K; Ouyang J; Hu B
Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884117
[TBL] [Abstract][Full Text] [Related]
17. Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet.
Çelebi A; Imak A; Üzen H; Budak Ü; Türkoğlu M; Hanbay D; Şengür A
Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 Jul; 138(1):149-161. PubMed ID: 37633787
[TBL] [Abstract][Full Text] [Related]
18. Proposing a CNN Method for Primary and Permanent Tooth Detection and Enumeration on Pediatric Dental Radiographs.
Kaya E; Gunec HG; Gokyay SS; Kutal S; Gulum S; Ates HF
J Clin Pediatr Dent; 2022 Jul; 46(4):293-298. PubMed ID: 36099226
[TBL] [Abstract][Full Text] [Related]
19. FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection.
Xu W; Zhang C; Wang Q; Dai P
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146340
[TBL] [Abstract][Full Text] [Related]
20. Classification of caries in third molars on panoramic radiographs using deep learning.
Vinayahalingam S; Kempers S; Limon L; Deibel D; Maal T; Hanisch M; Bergé S; Xi T
Sci Rep; 2021 Jun; 11(1):12609. PubMed ID: 34131266
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]