BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

618 related articles for article (PubMed ID: 33051704)

  • 1. Application of deep learning in genomics.
    Liu J; Li J; Wang H; Yan J
    Sci China Life Sci; 2020 Dec; 63(12):1860-1878. PubMed ID: 33051704
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network.
    Fu X
    Comput Intell Neurosci; 2021; 2021():2691346. PubMed ID: 34925485
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting enhancers with deep convolutional neural networks.
    Min X; Zeng W; Chen S; Chen N; Chen T; Jiang R
    BMC Bioinformatics; 2017 Dec; 18(Suppl 13):478. PubMed ID: 29219068
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning and Its Applications in Biomedicine.
    Cao C; Liu F; Tan H; Song D; Shu W; Li W; Zhou Y; Bo X; Xie Z
    Genomics Proteomics Bioinformatics; 2018 Feb; 16(1):17-32. PubMed ID: 29522900
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models.
    Yue T; Wang Y; Zhang L; Gu C; Xue H; Wang W; Lyu Q; Dun Y
    Int J Mol Sci; 2023 Nov; 24(21):. PubMed ID: 37958843
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
    Currie G; Hawk KE; Rohren E; Vial A; Klein R
    J Med Imaging Radiat Sci; 2019 Dec; 50(4):477-487. PubMed ID: 31601480
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.
    Li S; Shen X; Dou Y; Ni S; Xu J; Yang K; Wang Q; Niu X
    Comput Intell Neurosci; 2019; 2019():4328653. PubMed ID: 31182958
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.
    Mazurowski MA; Buda M; Saha A; Bashir MR
    J Magn Reson Imaging; 2019 Apr; 49(4):939-954. PubMed ID: 30575178
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Overcoming Interpretability in Deep Learning Cancer Classification.
    Teo YYA; Danilevsky A; Shomron N
    Methods Mol Biol; 2021; 2243():297-309. PubMed ID: 33606264
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Novel deep neural network based pattern field classification architectures.
    Huang K; Zhang S; Zhang R; Hussain A
    Neural Netw; 2020 Jul; 127():82-95. PubMed ID: 32344155
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Interpretation of deep learning in genomics and epigenomics.
    Talukder A; Barham C; Li X; Hu H
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 34020542
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Omics.
    Tran NH; Zhang X; Li M
    Proteomics; 2018 Jan; 18(2):. PubMed ID: 29239117
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The emerging role of deep learning in cytology.
    Dey P
    Cytopathology; 2021 Mar; 32(2):154-160. PubMed ID: 33222315
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A survey on deep learning in DNA/RNA motif mining.
    He Y; Shen Z; Zhang Q; Wang S; Huang DS
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33005921
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Recent Progress of Deep Learning in Drug Discovery.
    Wang F; Diao X; Chang S; Xu L
    Curr Pharm Des; 2021; 27(17):2088-2096. PubMed ID: 33511933
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning: definition and perspectives for thoracic imaging.
    Chassagnon G; Vakalopolou M; Paragios N; Revel MP
    Eur Radiol; 2020 Apr; 30(4):2021-2030. PubMed ID: 31811431
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.
    Shamshirband S; Fathi M; Dehzangi A; Chronopoulos AT; Alinejad-Rokny H
    J Biomed Inform; 2021 Jan; 113():103627. PubMed ID: 33259944
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
    Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M
    J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images.
    Brehar R; Mitrea DA; Vancea F; Marita T; Nedevschi S; Lupsor-Platon M; Rotaru M; Badea RI
    Sensors (Basel); 2020 May; 20(11):. PubMed ID: 32485986
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 31.