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 *

175 related articles for article (PubMed ID: 33739969)

  • 1. Predicting sensory evaluation of spinach freshness using machine learning model and digital images.
    Koyama K; Tanaka M; Cho BH; Yoshikawa Y; Koseki S
    PLoS One; 2021; 16(3):e0248769. PubMed ID: 33739969
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM.
    Krishnaswamy Rangarajan A; Purushothaman R
    Sci Rep; 2020 Feb; 10(1):2322. PubMed ID: 32047172
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Appearance and characterization of fruit image textures for quality sorting using wavelet transform and genetic algorithms.
    Khoje S
    J Texture Stud; 2018 Feb; 49(1):65-83. PubMed ID: 28737267
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Examining palpebral conjunctiva for anemia assessment with image processing methods.
    Chen YM; Miaou SG; Bian H
    Comput Methods Programs Biomed; 2016 Dec; 137():125-135. PubMed ID: 28110719
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
    Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
    Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of the Freshness State of Cooked Beef During Storage Using Hyperspectral Imaging.
    Yang D; He D; Lu A; Ren D; Wang J
    Appl Spectrosc; 2017 Oct; 71(10):2286-2301. PubMed ID: 28627234
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques.
    Thirunavukkarasu U; Umapathy S; Ravi V; Alahmadi TJ
    Sci Rep; 2024 Jun; 14(1):14571. PubMed ID: 38914599
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses.
    Al-Karawi D; Al-Assam H; Du H; Sayasneh A; Landolfo C; Timmerman D; Bourne T; Jassim S
    Ultrason Imaging; 2021 May; 43(3):124-138. PubMed ID: 33629652
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Descriptive Analysis and Consumer Acceptability of Locally and Commercially Grown Spinach.
    Batziakas KG; Talavera M; Swaney-Stueve M; Rivard CL; Pliakoni ED
    J Food Sci; 2019 Aug; 84(8):2261-2268. PubMed ID: 31313301
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.
    Zhang Y; Allem JP; Unger JB; Boley Cruz T
    J Med Internet Res; 2018 Nov; 20(11):e10513. PubMed ID: 30452385
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine learning technique.
    Ahalya RK; Snekhalatha U; Dhanraj V
    J Therm Biol; 2023 Jan; 111():103404. PubMed ID: 36585083
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation.
    Kocak B; Yardimci AH; Bektas CT; Turkcanoglu MH; Erdim C; Yucetas U; Koca SB; Kilickesmez O
    Eur J Radiol; 2018 Oct; 107():149-157. PubMed ID: 30292260
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
    Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
    Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.
    McAllister P; Zheng H; Bond R; Moorhead A
    Comput Biol Med; 2018 Apr; 95():217-233. PubMed ID: 29549733
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Vegetable and fruit freshness detection based on deep features and principal component analysis.
    Yuan Y; Chen X
    Curr Res Food Sci; 2024; 8():100656. PubMed ID: 38188650
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
    Pang S; Yu Z; Orgun MA
    Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An innovative approach to detecting the freshness of fruits and vegetables through the integration of convolutional neural networks and bidirectional long short-term memory network.
    Yuan Y; Chen J; Polat K; Alhudhaif A
    Curr Res Food Sci; 2024; 8():100723. PubMed ID: 39022740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying Freshness of Spinach Leaves Stored at Different Temperatures Using Hyperspectral Imaging.
    Zhu S; Feng L; Zhang C; Bao Y; He Y
    Foods; 2019 Aug; 8(9):. PubMed ID: 31438644
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment.
    Cao J; Wang M; Li Y; Zhang Q
    PLoS One; 2019; 14(4):e0215136. PubMed ID: 30970014
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Recognition of Maize Phenology in Sentinel Images with Machine Learning.
    Murguia-Cozar A; Macedo-Cruz A; Fernandez-Reynoso DS; Salgado Transito JA
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009637
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.