BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 35586212)

  • 1. Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation.
    Xiang Y; Chen Q; Su Z; Zhang L; Chen Z; Zhou G; Yao Z; Xuan Q; Cheng Y
    Front Plant Sci; 2022; 13():860656. PubMed ID: 35586212
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches.
    Su Z; Zhang C; Yan T; Zhu J; Zeng Y; Lu X; Gao P; Feng L; He L; Fan L
    Front Plant Sci; 2021; 12():736334. PubMed ID: 34567050
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes.
    Tan F; Mo X; Ruan S; Yan T; Xing P; Gao P; Xu W; Ye W; Li Y; Gao X; Liu T
    Foods; 2023 Sep; 12(19):. PubMed ID: 37835274
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hyperspectral Imaging Using a Convolutional Neural Network with Transformer for the Soluble Solid Content and pH Prediction of Cherry Tomatoes.
    Qi H; Li H; Chen L; Chen F; Luo J; Zhang C
    Foods; 2024 Jan; 13(2):. PubMed ID: 38254552
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery.
    Yang B; Gao Y; Yan Q; Qi L; Zhu Y; Wang B
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32899646
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hyperspectral Technique Combined With Deep Learning Algorithm for Prediction of Phenotyping Traits in Lettuce.
    Yu S; Fan J; Lu X; Wen W; Shao S; Guo X; Zhao C
    Front Plant Sci; 2022; 13():927832. PubMed ID: 35845657
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (
    Alenazi MM; Shafiq M; Alsadon AA; Alhelal IM; Alhamdan AM; Solieman THI; Ibrahim AA; Shady MR; Saad MAO
    Saudi J Biol Sci; 2020 Oct; 27(10):2839-2846. PubMed ID: 32994744
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spectral and image analysis of hyperspectral data for internal and external quality assessment of peach fruit.
    Xuan G; Gao C; Shao Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 May; 272():121016. PubMed ID: 35158140
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-destructive detection of kiwifruit soluble solid content based on hyperspectral and fluorescence spectral imaging.
    Xu L; Chen Y; Wang X; Chen H; Tang Z; Shi X; Chen X; Wang Y; Kang Z; Zou Z; Huang P; He Y; Yang N; Zhao Y
    Front Plant Sci; 2022; 13():1075929. PubMed ID: 36743568
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multimodal Deep Learning and Visible-Light and Hyperspectral Imaging for Fruit Maturity Estimation.
    Garillos-Manliguez CA; Chiang JY
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33670232
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models.
    Zhu H; Chu B; Fan Y; Tao X; Yin W; He Y
    Sci Rep; 2017 Aug; 7(1):7845. PubMed ID: 28798306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Simultaneous Detection of External and Internal Quality Parameters of Huping Jujube Fruits using Hyperspectral Imaging Technology].
    Xue JX; Zhang SJ; Zhang JJ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Aug; 35(8):2297-302. PubMed ID: 26672312
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hyperspectral Imaging with Machine Learning Approaches for Assessing Soluble Solids Content of Tribute Citru.
    Li C; He M; Cai Z; Qi H; Zhang J; Zhang C
    Foods; 2023 Jan; 12(2):. PubMed ID: 36673336
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering.
    Xu W; Wei L; Cheng W; Yi X; Lin Y
    Front Plant Sci; 2024; 15():1292365. PubMed ID: 38357269
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of Multimodal Fusion Technology for Tomato Maturity Assessment.
    Liu Y; Wei C; Yoon SC; Ni X; Wang W; Liu Y; Wang D; Wang X; Guo X
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676084
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Research on hyperspectral regression method of soluble solids in green plum based on one-dimensional deep convolution network.
    Zhou C; Zhang X; Liu Y; Ni X; Wang H; Liu Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123151. PubMed ID: 37523846
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Study on the detection of water status of tomato (
    Zuo Z; Mu J; Li W; Bu Q; Mao H; Zhang X; Han L; Ni J
    Front Plant Sci; 2023; 14():1094142. PubMed ID: 37324706
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging.
    Li X; Wei Z; Peng F; Liu J; Han G
    Front Plant Sci; 2023; 14():1137198. PubMed ID: 37051079
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Comprehensive Evaluation of Tomato Fruit Quality and Identification of Volatile Compounds.
    Zhang J; Liu S; Zhu X; Chang Y; Wang C; Ma N; Wang J; Zhang X; Lyu J; Xie J
    Plants (Basel); 2023 Aug; 12(16):. PubMed ID: 37631159
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness.
    Bu Y; Hu J; Chen C; Bai S; Chen Z; Hu T; Zhang G; Liu N; Cai C; Li Y; Xuan Q; Wang Y; Su Z; Xiang Y; Gong Y
    Sci Rep; 2024 Jan; 14(1):2568. PubMed ID: 38297076
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.