148 related articles for article (PubMed ID: 37631807)
1. Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks.
Ma K; Meng X; Hao M; Huang G; Hu Q; He P
Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631807
[TBL] [Abstract][Full Text] [Related]
2. Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD.
Li M; Zhang Z; Lei L; Wang X; Guo X
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32878345
[TBL] [Abstract][Full Text] [Related]
3. A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.
Zhang J; Qiu Y; Peng L; Zhou Q; Wang Z; Qi M
Front Endocrinol (Lausanne); 2022; 13():945020. PubMed ID: 36004341
[TBL] [Abstract][Full Text] [Related]
4. Deep learning-based concrete defects classification and detection using semantic segmentation.
Arafin P; Billah AM; Issa A
Struct Health Monit; 2024 Jan; 23(1):383-409. PubMed ID: 38078049
[TBL] [Abstract][Full Text] [Related]
5. An adaptive ensemble deep learning framework for reliable detection of pandemic patients.
Iqbal MS; Naqvi RA; Alizadehsani R; Hussain S; Moqurrab SA; Lee SW
Comput Biol Med; 2024 Jan; 168():107836. PubMed ID: 38086139
[TBL] [Abstract][Full Text] [Related]
6. Deep learning based real-time tourist spots detection and recognition mechanism.
Chen YC; Yu KM; Kao TH; Hsieh HL
Sci Prog; 2021 Sep; 104(3_suppl):368504211044228. PubMed ID: 34668799
[TBL] [Abstract][Full Text] [Related]
7. Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models.
Ma K; Hao M; Shang W; Liu J; Meng J; Hu Q; He P; Li S
Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400225
[TBL] [Abstract][Full Text] [Related]
8. Crack detection for concrete bridges with imaged based deep learning.
Wan C; Xiong X; Wen B; Gao S; Fang D; Yang C; Xue S
Sci Prog; 2022; 105(4):368504221128487. PubMed ID: 36177737
[TBL] [Abstract][Full Text] [Related]
9. Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN.
Xu X; Zhao M; Shi P; Ren R; He X; Wei X; Yang H
Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161961
[TBL] [Abstract][Full Text] [Related]
10. Automatic Tunnel Crack Detection Based on U-net and a Convolutional Neural Network with Alternately Updated Clique.
Li G; Ma B; He S; Ren X; Liu Q
Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 32012919
[TBL] [Abstract][Full Text] [Related]
11. Bridge crack detection based on improved single shot multi-box detector.
Lu G; He X; Wang Q; Shao F; Wang J; Jiang Q
PLoS One; 2022; 17(10):e0275538. PubMed ID: 36194591
[TBL] [Abstract][Full Text] [Related]
12. Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery.
Hong SJ; Han Y; Kim SY; Lee AY; Kim G
Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30959913
[TBL] [Abstract][Full Text] [Related]
13. Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image.
Wu W; Liu H; Li L; Long Y; Wang X; Wang Z; Li J; Chang Y
PLoS One; 2021; 16(10):e0259283. PubMed ID: 34714878
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients.
Ahmed AM; Gargett M; Madden L; Mylonas A; Chrystall D; Brown R; Briggs A; Nguyen T; Keall P; Kneebone A; Hruby G; Booth J
Biomed Phys Eng Express; 2023 Mar; 9(3):. PubMed ID: 36689758
[TBL] [Abstract][Full Text] [Related]
15. SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities.
Morera Á; Sánchez Á; Moreno AB; Sappa ÁD; Vélez JF
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824232
[TBL] [Abstract][Full Text] [Related]
16. Fast Attention CNN for Fine-Grained Crack Segmentation.
Lee H; Yoo J
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850841
[TBL] [Abstract][Full Text] [Related]
17. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
18. Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms.
Zhao M; Shi P; Xu X; Xu X; Liu W; Yang H
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146444
[TBL] [Abstract][Full Text] [Related]
19. Automatic Target Detection from Satellite Imagery Using Machine Learning.
Tahir A; Munawar HS; Akram J; Adil M; Ali S; Kouzani AZ; Mahmud MAP
Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161892
[TBL] [Abstract][Full Text] [Related]
20. ssFPN: Scale Sequence (
Park HJ; Kang JW; Kim BG
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177636
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
