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 *

89 related articles for article (PubMed ID: 33313541)

  • 1. High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks.
    Liu L; Lu H; Li Y; Cao Z
    Plant Phenomics; 2020; 2020():1375957. PubMed ID: 33313541
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images.
    Bai X; Liu P; Cao Z; Lu H; Xiong H; Yang A; Cai Z; Wang J; Yao J
    Plant Phenomics; 2023; 5():0020. PubMed ID: 37040495
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rice Ear Counting Based on Image Segmentation and Establishment of a Dataset.
    Shao H; Tang R; Lei Y; Mu J; Guan Y; Xiang Y
    Plants (Basel); 2021 Aug; 10(8):. PubMed ID: 34451670
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and counting.
    Yu Z; Ye J; Li C; Zhou H; Li X
    Front Plant Sci; 2023; 14():1158940. PubMed ID: 37123842
    [TBL] [Abstract][Full Text] [Related]  

  • 5. TasselNet: counting maize tassels in the wild via local counts regression network.
    Lu H; Cao Z; Xiao Y; Zhuang B; Shen C
    Plant Methods; 2017; 13():79. PubMed ID: 29118821
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated Counting of Rice Panicle by Applying Deep Learning Model to Images from Unmanned Aerial Vehicle Platform.
    Zhou C; Ye H; Hu J; Shi X; Hua S; Yue J; Xu Z; Yang G
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31337086
    [TBL] [Abstract][Full Text] [Related]  

  • 7. TasselNetV2+: A Fast Implementation for High-Throughput Plant Counting From High-Resolution RGB Imagery.
    Lu H; Cao Z
    Front Plant Sci; 2020; 11():541960. PubMed ID: 33365037
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Maize tassels detection: a benchmark of the state of the art.
    Zou H; Lu H; Li Y; Liu L; Cao Z
    Plant Methods; 2020; 16():108. PubMed ID: 32782455
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Feature enhancement guided network for yield estimation of high-density jujube.
    Cheng F; Wei J; Jiang S; Chen Q; Ru Y; Zhou H
    Plant Methods; 2023 Aug; 19(1):85. PubMed ID: 37587465
    [TBL] [Abstract][Full Text] [Related]  

  • 10. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks.
    Xiong H; Cao Z; Lu H; Madec S; Liu L; Shen C
    Plant Methods; 2019; 15():150. PubMed ID: 31857821
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Decoupled Two-Stage Crowd Counting and Beyond.
    Cheng J; Xiong H; Cao Z; Lu H
    IEEE Trans Image Process; 2021; 30():2862-2875. PubMed ID: 33539296
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Model construction and application for nitrogen nutrition monitoring and diagnosis in double-cropping rice of Jiangxi Province, China].
    Li YD; Cao ZS; Sun BF; Ye C; Shu SF; Huang JB; Wang KJ; Tian YC
    Ying Yong Sheng Tai Xue Bao; 2020 Feb; 31(2):433-440. PubMed ID: 32476335
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Field rice panicle detection and counting based on deep learning.
    Wang X; Yang W; Lv Q; Huang C; Liang X; Chen G; Xiong L; Duan L
    Front Plant Sci; 2022; 13():966495. PubMed ID: 36035660
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detection of rice plant diseases based on deep transfer learning.
    Chen J; Zhang D; Nanehkaran YA; Li D
    J Sci Food Agric; 2020 May; 100(7):3246-3256. PubMed ID: 32124447
    [TBL] [Abstract][Full Text] [Related]  

  • 15. High-throughput measurement of rice tillers using a conveyor equipped with x-ray computed tomography.
    Yang W; Xu X; Duan L; Luo Q; Chen S; Zeng S; Liu Q
    Rev Sci Instrum; 2011 Feb; 82(2):025102. PubMed ID: 21361628
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PaDNet: Pan-Density Crowd Counting.
    Tian Y; Lei Y; Zhang J; Wang JZ
    IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31725380
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion.
    Peng X; Zhou T; Zhang Y; Zhao X
    Sensors (Basel); 2024 May; 24(9):. PubMed ID: 38733022
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semi-supervised Counting of Grape Berries in the Field Based on Density Mutual Exclusion.
    Li Y; Tang Y; Liu Y; Zheng D
    Plant Phenomics; 2023; 5():0115. PubMed ID: 38033720
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net.
    Wu H; Bailey C; Rasoulinejad P; Li S
    Med Image Anal; 2018 Aug; 48():1-11. PubMed ID: 29803920
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion.
    Weng S; Tang P; Yuan H; Guo B; Yu S; Huang L; Xu C
    Spectrochim Acta A Mol Biomol Spectrosc; 2020 Jun; 234():118237. PubMed ID: 32200232
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.