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 *

118 related articles for article (PubMed ID: 38891310)

  • 1.
    Chen M; Lin C; Sun Y; Yang R; Lu X; Lou W; Deng X; Zhao Y; Liu F
    Plants (Basel); 2024 May; 13(11):. PubMed ID: 38891310
    [No Abstract]   [Full Text] [Related]  

  • 2. [Identification of Pummelo Cultivars Based on Hyperspectral Imaging Technology].
    Li XL; Yi SL; He SL; Lü Q; Xie RJ; Zheng YQ; Deng L
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Sep; 35(9):2639-43. PubMed ID: 26669182
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images.
    Li Y; Wang J; Gao T; Sun Q; Zhang L; Tang M
    Comput Intell Neurosci; 2020; 2020():8886932. PubMed ID: 32952545
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nondestructive Classification of Soybean Seed Varieties by Hyperspectral Imaging and Ensemble Machine Learning Algorithms.
    Wei Y; Li X; Pan X; Li L
    Sensors (Basel); 2020 Dec; 20(23):. PubMed ID: 33297289
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Hyperspectral Imaging Approach for Classifying Geographical Origins of Rhizoma Atractylodis Macrocephalae Using the Fusion of Spectrum-Image in VNIR and SWIR Ranges (VNIR-SWIR-FuSI).
    Ru C; Li Z; Tang R
    Sensors (Basel); 2019 May; 19(9):. PubMed ID: 31052476
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning in the classification of asian rust severity in soybean using hyperspectral sensor.
    Santana DC; Otone JDQ; Baio FHR; Teodoro LPR; Alves MEM; Junior CADS; Teodoro PE
    Spectrochim Acta A Mol Biomol Spectrosc; 2024 May; 313():124113. PubMed ID: 38447444
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning.
    Feng H; Chen Y; Song J; Lu B; Shu C; Qiao J; Liao Y; Yang W
    Plant Phenomics; 2024; 6():0139. PubMed ID: 38550661
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm.
    Zhao D; Feng S; Cao Y; Yu F; Guan Q; Li J; Zhang G; Xu T
    Front Plant Sci; 2022; 13():879668. PubMed ID: 35599890
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion.
    Lu Z; Huang S; Zhang X; Shi Y; Yang W; Zhu L; Huang C
    Plant Methods; 2023 Jul; 19(1):75. PubMed ID: 37516875
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning classification of origins and varieties of Tetrastigma hemsleyanum using a dual-mode microscopic hyperspectral imager.
    Jiao C; Xu Z; Bian Q; Forsberg E; Tan Q; Peng X; He S
    Spectrochim Acta A Mol Biomol Spectrosc; 2021 Nov; 261():120054. PubMed ID: 34119773
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying non-O157 Shiga toxin-producing Escherichia coli (STEC) using deep learning methods with hyperspectral microscope images.
    Kang R; Park B; Chen K
    Spectrochim Acta A Mol Biomol Spectrosc; 2020 Jan; 224():117386. PubMed ID: 31336320
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Leaf-Scale Wheat Powdery Mildew (
    Zhao J; Fang Y; Chu G; Yan H; Hu L; Huang L
    Plants (Basel); 2020 Jul; 9(8):. PubMed ID: 32722022
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Near-infrared spectroscopy and HPLC combined with chemometrics for comprehensive evaluation of six organic acids in Ginkgo biloba leaf extract.
    Zhang S; Gong X; Qu H
    J Pharm Pharmacol; 2022 Jul; 74(7):1040-1050. PubMed ID: 35294552
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Plant Species Classification Based on Hyperspectral Imaging
    Liu KH; Yang MH; Huang ST; Lin C
    Front Plant Sci; 2022; 13():855660. PubMed ID: 35498669
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hyperspectral plant sensing for differentiating glyphosate-resistant and glyphosate-susceptible johnsongrass through machine learning algorithms.
    Huang Y; Zhao X; Pan Z; Reddy KN; Zhang J
    Pest Manag Sci; 2022 Jun; 78(6):2370-2377. PubMed ID: 35254728
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.
    Shao Y; Ji S; Shi Y; Xuan G; Jia H; Guan X; Chen L
    Spectrochim Acta A Mol Biomol Spectrosc; 2024 Oct; 319():124538. PubMed ID: 38833885
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (
    Lu Y; Young S; Linder E; Whipker B; Suchoff D
    Front Plant Sci; 2021; 12():810113. PubMed ID: 35185960
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A deep learning model for rapid classification of tea coal disease.
    Xu Y; Mao Y; Li H; Sun L; Wang S; Li X; Shen J; Yin X; Fan K; Ding Z; Wang Y
    Plant Methods; 2023 Sep; 19(1):98. PubMed ID: 37689676
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hyperspectral Image Labeling and Classification Using an Ensemble Semi-Supervised Machine Learning Approach.
    Manian V; Alfaro-Mejía E; Tokars RP
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214523
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning.
    Xu Z; Jiang Y; Ji J; Forsberg E; Li Y; He S
    Opt Express; 2020 Oct; 28(21):30686-30700. PubMed ID: 33115064
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.