BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

105 related articles for article (PubMed ID: 34382005)

  • 1. High-Throughput Corn Image Segmentation and Trait Extraction Using Chlorophyll Fluorescence Images.
    Souza A; Yang Y
    Plant Phenomics; 2021; 2021():9792582. PubMed ID: 34382005
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality.
    Ma D; Wang L; Zhang L; Song Z; U Rehman T; Jin J
    Sensors (Basel); 2020 Jun; 20(13):. PubMed ID: 32629882
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of feature point detectors for multimodal image registration in plant phenotyping.
    Henke M; Junker A; Neumann K; Altmann T; Gladilin E
    PLoS One; 2019; 14(9):e0221203. PubMed ID: 31568494
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation.
    Hussein BR; Malik OA; Ong WH; Slik JWF
    Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34283110
    [TBL] [Abstract][Full Text] [Related]  

  • 5. KAT4IA:
    Guo X; Qiu Y; Nettleton D; Yeh CT; Zheng Z; Hey S; Schnable PS
    Plant Phenomics; 2021; 2021():9805489. PubMed ID: 34405144
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quantitative Analysis of Cotton Canopy Size in Field Conditions Using a Consumer-Grade RGB-D Camera.
    Jiang Y; Li C; Paterson AH; Sun S; Xu R; Robertson J
    Front Plant Sci; 2017; 8():2233. PubMed ID: 29441074
    [TBL] [Abstract][Full Text] [Related]  

  • 7. High-throughput phenotyping of lateral expansion and regrowth of spaced Lolium perenne plants using on-field image analysis.
    Lootens P; Ruttink T; Rohde A; Combes D; Barre P; Roldán-Ruiz I
    Plant Methods; 2016; 12():32. PubMed ID: 27293473
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography.
    Herrero-Huerta M; Meline V; Iyer-Pascuzzi AS; Souza AM; Tuinstra MR; Yang Y
    Plant Methods; 2021 Dec; 17(1):123. PubMed ID: 34863243
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Leveraging Image Analysis for High-Throughput Plant Phenotyping.
    Das Choudhury S; Samal A; Awada T
    Front Plant Sci; 2019; 10():508. PubMed ID: 31068958
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Field-based individual plant phenotyping of herbaceous species by unmanned aerial vehicle.
    Guo W; Fukano Y; Noshita K; Ninomiya S
    Ecol Evol; 2020 Nov; 10(21):12318-12326. PubMed ID: 33209290
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Research on maize multispectral image accurate segmentation and chlorophyll index estimation].
    Wu Q; Sun H; Li MZ; Song YY; Zhang YE
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jan; 35(1):178-83. PubMed ID: 25993844
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LiDARPheno - A Low-Cost LiDAR-Based 3D Scanning System for Leaf Morphological Trait Extraction.
    Panjvani K; Dinh AV; Wahid KA
    Front Plant Sci; 2019; 10():147. PubMed ID: 30815008
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Image-Based High-Throughput Detection and Phenotype Evaluation Method for Multiple Lettuce Varieties.
    Du J; Lu X; Fan J; Qin Y; Yang X; Guo X
    Front Plant Sci; 2020; 11():563386. PubMed ID: 33123178
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison and extension of three methods for automated registration of multimodal plant images.
    Henke M; Junker A; Neumann K; Altmann T; Gladilin E
    Plant Methods; 2019; 15():44. PubMed ID: 31168314
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Segmentation-Guided Deep Learning Framework for Leaf Counting.
    Fan X; Zhou R; Tjahjadi T; Das Choudhury S; Ye Q
    Front Plant Sci; 2022; 13():844522. PubMed ID: 35665165
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of high-throughput phenotyping data for differentiation among nutrient deficiency in common bean.
    Lazarević B; Carović-Stanko K; Živčak M; Vodnik D; Javornik T; Safner T
    Front Plant Sci; 2022; 13():931877. PubMed ID: 35937354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components.
    Du J; Li B; Lu X; Yang X; Guo X; Zhao C
    Plant Methods; 2022 Apr; 18(1):54. PubMed ID: 35468831
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A two-step registration-classification approach to automated segmentation of multimodal images for high-throughput greenhouse plant phenotyping.
    Henke M; Junker A; Neumann K; Altmann T; Gladilin E
    Plant Methods; 2020; 16():95. PubMed ID: 32670387
    [TBL] [Abstract][Full Text] [Related]  

  • 19. High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography.
    Liu W; Liu C; Jin J; Li D; Fu Y; Yuan X
    Front Plant Sci; 2020; 11():601475. PubMed ID: 33281857
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Leaf traits and performance vary with plant age and water availability in Artemisia californica.
    Funk JL; Larson JE; Vose G
    Ann Bot; 2021 Mar; 127(4):495-503. PubMed ID: 32504539
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.