BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

363 related articles for article (PubMed ID: 35599890)

  • 1. 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]  

  • 2. Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages.
    Zhang G; Xu T; Tian Y
    Plant Methods; 2022 Nov; 18(1):123. PubMed ID: 36403061
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM.
    He Y; Zhang W; Ma Y; Li J; Ma B
    Molecules; 2022 Jun; 27(13):. PubMed ID: 35807337
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.
    Zhu H; Chu B; Zhang C; Liu F; Jiang L; He Y
    Sci Rep; 2017 Jun; 7(1):4125. PubMed ID: 28646177
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging.
    Xie C; Shao Y; Li X; He Y
    Sci Rep; 2015 Nov; 5():16564. PubMed ID: 26572857
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [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]  

  • 7. Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System.
    Fan Y; Wang T; Qiu Z; Peng J; Zhang C; He Y
    Sensors (Basel); 2017 Oct; 17(11):. PubMed ID: 29077040
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of rice leaf blast severity using hyperspectral imaging.
    Zhang G; Xu T; Tian Y; Feng S; Zhao D; Guo Z
    Sci Rep; 2022 Nov; 12(1):19757. PubMed ID: 36396749
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods.
    Feng L; Wu B; Zhu S; Wang J; Su Z; Liu F; He Y; Zhang C
    Front Plant Sci; 2020; 11():577063. PubMed ID: 33240295
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Image Classification and Recognition of Rice Diseases: A Hybrid DBN and Particle Swarm Optimization Algorithm.
    Lu Y; Du J; Liu P; Zhang Y; Hao Z
    Front Bioeng Biotechnol; 2022; 10():855667. PubMed ID: 35573246
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Non-Destructive Detection of Different Pesticide Residues on the Surface of Hami Melon Classification Based on tHBA-ELM Algorithm and SWIR Hyperspectral Imaging.
    Hu Y; Ma B; Wang H; Li Y; Zhang Y; Yu G
    Foods; 2023 Apr; 12(9):. PubMed ID: 37174311
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of Hybrid Feature Optimization Techniques Based on the Classification Accuracy of Brain Tumor Regions Using Machine Learning and Further Evaluation Based on the Institute Test Data.
    Pal S; Singh RP; Kumar A
    J Med Phys; 2024; 49(1):22-32. PubMed ID: 38828069
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging.
    Feng X; Peng C; Chen Y; Liu X; Feng X; He Y
    Sci Rep; 2017 Nov; 7(1):15934. PubMed ID: 29162881
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance.
    Liu S; Yu H; Sui Y; Zhou H; Zhang J; Kong L; Dang J; Zhang L
    PLoS One; 2021; 16(9):e0257008. PubMed ID: 34478465
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Study on the identification of resistance of rice blast based on near infrared spectroscopy.
    He Y; Zhao X; Zhang W; He X; Tong L
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 Feb; 266():120439. PubMed ID: 34601366
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Identification of varieties of black bean using ground based hyperspectral imaging].
    Zhang C; Liu F; Zhang HL; Kong WW; He Y
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Mar; 34(3):746-50. PubMed ID: 25208405
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Construction of a Winter Wheat Comprehensive Growth Monitoring Index Based on a Fuzzy Degree Comprehensive Evaluation Model of Multispectral UAV Data.
    Yu J; Zhang S; Zhang Y; Hu R; Lawi AS
    Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836918
    [TBL] [Abstract][Full Text] [Related]  

  • 20. High-Throughput Screening of Free Proline Content in Rice Leaf under Cadmium Stress Using Hyperspectral Imaging with Chemometrics.
    Shen T; Zhang C; Liu F; Wang W; Lu Y; Chen R; He Y
    Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32517150
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.