BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38372581)

  • 1. T-YOLO: a lightweight and efficient detection model for nutrient buds in complex tea-plantation environments.
    Bai B; Wang J; Li J; Yu L; Wen J; Han Y
    J Sci Food Agric; 2024 Aug; 104(10):5698-5711. PubMed ID: 38372581
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Small object detection algorithm incorporating swin transformer for tea buds.
    Shi M; Zheng D; Wu T; Zhang W; Fu R; Huang K
    PLoS One; 2024; 19(3):e0299902. PubMed ID: 38512917
    [TBL] [Abstract][Full Text] [Related]  

  • 3. YOLOv8-RMDA: Lightweight YOLOv8 Network for Early Detection of Small Target Diseases in Tea.
    Ye R; Shao G; He Y; Gao Q; Li T
    Sensors (Basel); 2024 May; 24(9):. PubMed ID: 38733002
    [TBL] [Abstract][Full Text] [Related]  

  • 4. EADD-YOLO: An efficient and accurate disease detector for apple leaf using improved lightweight YOLOv5.
    Zhu S; Ma W; Wang J; Yang M; Wang Y; Wang C
    Front Plant Sci; 2023; 14():1120724. PubMed ID: 36909428
    [TBL] [Abstract][Full Text] [Related]  

  • 5. YOLO-LWNet: A Lightweight Road Damage Object Detection Network for Mobile Terminal Devices.
    Wu C; Ye M; Zhang J; Ma Y
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991979
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LSR-YOLO: A High-Precision, Lightweight Model for Sheep Face Recognition on the Mobile End.
    Zhang X; Xuan C; Xue J; Chen B; Ma Y
    Animals (Basel); 2023 May; 13(11):. PubMed ID: 37889716
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A tea bud segmentation, detection and picking point localization based on the MDY7-3PTB model.
    Zhang F; Sun H; Xie S; Dong C; Li Y; Xu Y; Zhang Z; Chen F
    Front Plant Sci; 2023; 14():1199473. PubMed ID: 37841621
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection Model of Tea Disease Severity under Low Light Intensity Based on YOLOv8 and EnlightenGAN.
    Ye R; Shao G; Yang Z; Sun Y; Gao Q; Li T
    Plants (Basel); 2024 May; 13(10):. PubMed ID: 38794447
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Does dual reduction in chemical fertilizer and pesticides improve nutrient loss and tea yield and quality? A pilot study in a green tea garden in Shaoxing, Zhejiang Province, China.
    Xie S; Feng H; Yang F; Zhao Z; Hu X; Wei C; Liang T; Li H; Geng Y
    Environ Sci Pollut Res Int; 2019 Jan; 26(3):2464-2476. PubMed ID: 30471060
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Small target tea bud detection based on improved YOLOv5 in complex background.
    Wang M; Li Y; Meng H; Chen Z; Gui Z; Li Y; Dong C
    Front Plant Sci; 2024; 15():1393138. PubMed ID: 38887461
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Real-time and lightweight detection of grape diseases based on Fusion Transformer YOLO.
    Liu Y; Yu Q; Geng S
    Front Plant Sci; 2024; 15():1269423. PubMed ID: 38463562
    [TBL] [Abstract][Full Text] [Related]  

  • 13. YOLO-SCL: a lightweight detection model for citrus psyllid based on spatial channel interaction.
    Lyu S; Zhou X; Li Z; Liu X; Chen Y; Zeng W
    Front Plant Sci; 2023; 14():1276833. PubMed ID: 38023942
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MGA-YOLO: A lightweight one-stage network for apple leaf disease detection.
    Wang Y; Wang Y; Zhao J
    Front Plant Sci; 2022; 13():927424. PubMed ID: 36072327
    [TBL] [Abstract][Full Text] [Related]  

  • 15. YOLO_Bolt: a lightweight network model for bolt detection.
    Liu Z; Lv H
    Sci Rep; 2024 Jan; 14(1):656. PubMed ID: 38182671
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A lightweight Yunnan Xiaomila detection and pose estimation based on improved YOLOv8.
    Wang F; Tang Y; Gong Z; Jiang J; Chen Y; Xu Q; Hu P; Zhu H
    Front Plant Sci; 2024; 15():1421381. PubMed ID: 38903433
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Tea-YOLOv8s: A Tea Bud Detection Model Based on Deep Learning and Computer Vision.
    Xie S; Sun H
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514870
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Effect of shading intensity on morphological and color traits and on chemical components of new tea (Camellia sinensis L.) shoots under direct covering cultivation.
    Sano T; Horie H; Matsunaga A; Hirono Y
    J Sci Food Agric; 2018 Dec; 98(15):5666-5676. PubMed ID: 29722013
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Lightweight cotton diseases real-time detection model for resource-constrained devices in natural environments.
    Pan P; Shao M; He P; Hu L; Zhao S; Huang L; Zhou G; Zhang J
    Front Plant Sci; 2024; 15():1383863. PubMed ID: 38903431
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ALAD-YOLO:an lightweight and accurate detector for apple leaf diseases.
    Xu W; Wang R
    Front Plant Sci; 2023; 14():1204569. PubMed ID: 37662152
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.