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 *

412 related articles for article (PubMed ID: 34320410)

  • 1. Probing machine-learning classifiers using noise, bubbles, and reverse correlation.
    Thoret E; Andrillon T; Léger D; Pressnitzer D
    J Neurosci Methods; 2021 Oct; 362():109297. PubMed ID: 34320410
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.
    Kang J; Ullah Z; Gwak J
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33810176
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.
    Alawad M; Gao S; Qiu JX; Yoon HJ; Blair Christian J; Penberthy L; Mumphrey B; Wu XC; Coyle L; Tourassi G
    J Am Med Inform Assoc; 2020 Jan; 27(1):89-98. PubMed ID: 31710668
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Human Locomotion Classification for Different Terrains Using Machine Learning Techniques.
    Negi S; Negi PCBS; Sharma S; Sharma N
    Crit Rev Biomed Eng; 2020; 48(4):199-209. PubMed ID: 33463957
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.
    Stryker S; Kapadia AJ; Greenberg JA
    Med Phys; 2022 Jan; 49(1):532-546. PubMed ID: 34799852
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye.
    Cheng X; Ren Y; Cheng K; Cao J; Hao Q
    Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32370162
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Shallow and deep learning classifiers in medical image analysis.
    Prinzi F; Currieri T; Gaglio S; Vitabile S
    Eur Radiol Exp; 2024 Mar; 8(1):26. PubMed ID: 38438821
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks.
    Dürr O; Sick B
    J Biomol Screen; 2016 Oct; 21(9):998-1003. PubMed ID: 26950929
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning for electroencephalogram (EEG) classification tasks: a review.
    Craik A; He Y; Contreras-Vidal JL
    J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014
    [TBL] [Abstract][Full Text] [Related]  

  • 13. P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss.
    Zhao Q; Hu W; Huang Y; Zhang F
    Neural Netw; 2021 Dec; 144():1-10. PubMed ID: 34418693
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning Assisted Neonatal Cry Classification
    K A; Vincent PMDR; Srinivasan K; Chang CY
    Front Public Health; 2021; 9():670352. PubMed ID: 34178926
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network.
    Farooq M; Hussain F; Baloch NK; Raja FR; Yu H; Zikria YB
    Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33113907
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation.
    Dominguez Veiga JJ; O'Reilly M; Whelan D; Caulfield B; Ward TE
    JMIR Mhealth Uhealth; 2017 Aug; 5(8):e115. PubMed ID: 28778851
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.
    Zhang J; Yao R; Ge W; Gao J
    Comput Methods Programs Biomed; 2020 Jan; 183():105089. PubMed ID: 31586788
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.
    Ieracitano C; Mammone N; Hussain A; Morabito FC
    Neural Netw; 2020 Mar; 123():176-190. PubMed ID: 31884180
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiclass wound image classification using an ensemble deep CNN-based classifier.
    Rostami B; Anisuzzaman DM; Wang C; Gopalakrishnan S; Niezgoda J; Yu Z
    Comput Biol Med; 2021 Jul; 134():104536. PubMed ID: 34126281
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.