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285 related items for PubMed ID: 32594664

  • 1. Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper.
    Liu N, Guo Y, Jiang H, Yi W.
    J Biomed Opt; 2020 Jun; 25(6):1-9. PubMed ID: 32594664
    [Abstract] [Full Text] [Related]

  • 2. Classification of oat and groat kernels using NIR hyperspectral imaging.
    Serranti S, Cesare D, Marini F, Bonifazi G.
    Talanta; 2013 Jan 15; 103():276-84. PubMed ID: 23200388
    [Abstract] [Full Text] [Related]

  • 3. Visible-short wavelength near infrared hyperspectral imaging coupled with multivariate curve resolution-alternating least squares for diagnosis of breast cancer.
    Khazaei K, Roshandel P, Parastar H.
    Spectrochim Acta A Mol Biomol Spectrosc; 2025 Jan 05; 324():124966. PubMed ID: 39153346
    [Abstract] [Full Text] [Related]

  • 4. Application of near-infrared hyperspectral imaging to discriminate different geographical origins of Chinese wolfberries.
    Yin W, Zhang C, Zhu H, Zhao Y, He Y.
    PLoS One; 2017 Jan 05; 12(7):e0180534. PubMed ID: 28704423
    [Abstract] [Full Text] [Related]

  • 5. Comparison of hyperspectral imaging and spectrometers for prediction of cheeses composition.
    da Silva Medeiros ML, Moreira de Carvalho L, Madruga MS, Rodríguez-Pulido FJ, Heredia FJ, Fernandes Barbin D.
    Food Res Int; 2024 May 05; 183():114242. PubMed ID: 38760121
    [Abstract] [Full Text] [Related]

  • 6. Evaluating the identification of the extent of gastric cancer by over-1000 nm near-infrared hyperspectral imaging using surgical specimens.
    Mitsui T, Mori A, Takamatsu T, Kadota T, Sato K, Fukushima R, Okubo K, Umezawa M, Takemura H, Yokota H, Kuwata T, Kinoshita T, Ikematsu H, Yano T, Maeda S, Soga K.
    J Biomed Opt; 2023 Aug 05; 28(8):086001. PubMed ID: 37614567
    [Abstract] [Full Text] [Related]

  • 7. A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection.
    Youssef A, Moa B, El-Sharkawy YH.
    Photodiagnosis Photodyn Ther; 2024 Apr 05; 46():104048. PubMed ID: 38484830
    [Abstract] [Full Text] [Related]

  • 8. Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview.
    Reddy P, Guthridge KM, Panozzo J, Ludlow EJ, Spangenberg GC, Rochfort SJ.
    Sensors (Basel); 2022 Mar 03; 22(5):. PubMed ID: 35271127
    [Abstract] [Full Text] [Related]

  • 9. Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging.
    Feng L, Zhu S, Zhang C, Bao Y, Gao P, He Y.
    Molecules; 2018 Nov 08; 23(11):. PubMed ID: 30412997
    [Abstract] [Full Text] [Related]

  • 10. Integration of spectral and textural features of visible and near-infrared hyperspectral imaging for differentiating between normal and white striping broiler breast meat.
    Jiang H, Yoon SC, Zhuang H, Wang W, Li Y, Yang Y.
    Spectrochim Acta A Mol Biomol Spectrosc; 2019 Apr 15; 213():118-126. PubMed ID: 30684880
    [Abstract] [Full Text] [Related]

  • 11. 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 27; 17(11):. PubMed ID: 29077040
    [Abstract] [Full Text] [Related]

  • 12. Near-Infrared Hyperspectral Imaging as a Monitoring Tool for On-Demand Manufacturing of Inkjet-Printed Formulations.
    Stranzinger S, Wolfgang M, Klotz E, Scheibelhofer O, Ghiotti P, Khinast JG, Hsiao WK, Paudel A.
    AAPS PharmSciTech; 2021 Aug 10; 22(6):211. PubMed ID: 34374899
    [Abstract] [Full Text] [Related]

  • 13. Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study.
    Pereira JFQ, Pimentel MF, Amigo JM, Honorato RS.
    Spectrochim Acta A Mol Biomol Spectrosc; 2020 Aug 15; 237():118385. PubMed ID: 32348921
    [Abstract] [Full Text] [Related]

  • 14. Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics.
    Liu Y, Huang J, Li M, Chen Y, Cui Q, Lu C, Wang Y, Li L, Xu Z, Zhong Y, Ning J.
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 Feb 15; 267(Pt 1):120537. PubMed ID: 34740002
    [Abstract] [Full Text] [Related]

  • 15. An explorative chemometric approach applied to hyperspectral images for the study of illuminated manuscripts.
    Catelli E, Randeberg LL, Alsberg BK, Gebremariam KF, Bracci S.
    Spectrochim Acta A Mol Biomol Spectrosc; 2017 Apr 15; 177():69-78. PubMed ID: 28126654
    [Abstract] [Full Text] [Related]

  • 16. Detection of Sulfite Dioxide Residue on the Surface of Fresh-Cut Potato Slices Using Near-Infrared Hyperspectral Imaging System and Portable Near-Infrared Spectrometer.
    Bai X, Xiao Q, Zhou L, Tang Y, He Y.
    Molecules; 2020 Apr 03; 25(7):. PubMed ID: 32260173
    [Abstract] [Full Text] [Related]

  • 17. Identification of fiber added to semolina by near infrared (NIR) spectral techniques.
    Badaró AT, Morimitsu FL, Ferreira AR, Clerici MTPS, Fernandes Barbin D.
    Food Chem; 2019 Aug 15; 289():195-203. PubMed ID: 30955603
    [Abstract] [Full Text] [Related]

  • 18. Early diagnosis of Cladosporium fulvum in greenhouse tomato plants based on visible/near-infrared (VIS/NIR) and near-infrared (NIR) data fusion.
    Zhao X, Liu Y, Huang Z, Li G, Zhang Z, He X, Du H, Wang M, Li Z.
    Sci Rep; 2024 Aug 30; 14(1):20176. PubMed ID: 39215204
    [Abstract] [Full Text] [Related]

  • 19. How to predict the sugariness and hardness of melons: A near-infrared hyperspectral imaging method.
    Sun M, Zhang D, Liu L, Wang Z.
    Food Chem; 2017 Mar 01; 218():413-421. PubMed ID: 27719929
    [Abstract] [Full Text] [Related]

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