These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 37687314)

  • 1. Tomato Fruit Detection Using Modified Yolov5m Model with Convolutional Neural Networks.
    Tsai FT; Nguyen VT; Duong TP; Phan QH; Lien CH
    Plants (Basel); 2023 Aug; 12(17):. PubMed ID: 37687314
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of Tomato Fruit Using Yolov5 and Convolutional Neural Network Models.
    Phan QH; Nguyen VT; Lien CH; Duong TP; Hou MT; Le NB
    Plants (Basel); 2023 Feb; 12(4):. PubMed ID: 36840138
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A fluorescence detection method for postharvest tomato epidermal defects based on improved YOLOv5m.
    Huang Y; Xiong J; Yao Z; Huang Q; Tang K; Jiang D; Yang Z
    J Sci Food Agric; 2024 Aug; 104(11):6615-6625. PubMed ID: 38523076
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Intact Detection of Highly Occluded Immature Tomatoes on Plants Using Deep Learning Techniques.
    Mu Y; Chen TS; Ninomiya S; Guo W
    Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32466108
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism.
    Appe SN; G A; Gn B
    PeerJ Comput Sci; 2023; 9():e1463. PubMed ID: 37547387
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A New Pest Detection Method Based on Improved YOLOv5m.
    Dai M; Dorjoy MMH; Miao H; Zhang S
    Insects; 2023 Jan; 14(1):. PubMed ID: 36661982
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An occluded cherry tomato recognition model based on improved YOLOv7.
    Hou G; Chen H; Ma Y; Jiang M; Hua C; Jiang C; Niu R
    Front Plant Sci; 2023; 14():1260808. PubMed ID: 37929164
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stochastic Decision Fusion of Convolutional Neural Networks for Tomato Ripeness Detection in Agricultural Sorting Systems.
    Ko K; Jang I; Choi JH; Lim JH; Lee DU
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33572942
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 model.
    Jing J; Li S; Qiao C; Li K; Zhu X; Zhang L
    J Sci Food Agric; 2023 Nov; 103(14):7070-7082. PubMed ID: 37326973
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tomato maturity recognition with convolutional transformers.
    Khan A; Hassan T; Shafay M; Fahmy I; Werghi N; Mudigansalage S; Hussain I
    Sci Rep; 2023 Dec; 13(1):22885. PubMed ID: 38129680
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory.
    Wang X; Wu Z; Jia M; Xu T; Pan C; Qi X; Zhao M
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36992047
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques.
    Wang Q; Qi F; Sun M; Qu J; Xue J
    Comput Intell Neurosci; 2019; 2019():9142753. PubMed ID: 31933623
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Object Detection Method for Grasping Robot Based on Improved YOLOv5.
    Song Q; Li S; Bai Q; Yang J; Zhang X; Li Z; Duan Z
    Micromachines (Basel); 2021 Oct; 12(11):. PubMed ID: 34832685
    [TBL] [Abstract][Full Text] [Related]  

  • 14. First Report of Fruit Rot Caused by Fusarium luffae in Cherry Tomato in China.
    Sun X; Jiang S; Hong H; Zhang M; Xin Z; Wu B; Xin X
    Plant Dis; 2023 Jul; ():. PubMed ID: 37486271
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Convolutional Neural Network for Object Detection in Garlic Root Cutting Equipment.
    Yang K; Peng B; Gu F; Zhang Y; Wang S; Yu Z; Hu Z
    Foods; 2022 Jul; 11(15):. PubMed ID: 35892782
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of Convolutional Neural Network Pre-Trained Models for Detection and Orientation of Cracks.
    Qayyum W; Ehtisham R; Bahrami A; Camp C; Mir J; Ahmad A
    Materials (Basel); 2023 Jan; 16(2):. PubMed ID: 36676563
    [TBL] [Abstract][Full Text] [Related]  

  • 17. LightMixer: A novel lightweight convolutional neural network for tomato disease detection.
    Zhong Y; Teng Z; Tong M
    Front Plant Sci; 2023; 14():1166296. PubMed ID: 37229103
    [TBL] [Abstract][Full Text] [Related]  

  • 18. YOLOv5-LiNet: A lightweight network for fruits instance segmentation.
    Lawal OM
    PLoS One; 2023; 18(3):e0282297. PubMed ID: 36862724
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Skin lesion classification with ensembles of deep convolutional neural networks.
    Harangi B
    J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Lightweight tea bud recognition network integrating GhostNet and YOLOv5.
    Cao M; Fu H; Zhu J; Cai C
    Math Biosci Eng; 2022 Sep; 19(12):12897-12914. PubMed ID: 36654027
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.