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 *

174 related articles for article (PubMed ID: 29599461)

  • 21. 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]  

  • 22. 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]  

  • 23. Machine Learning Applications to Resting-State Functional MR Imaging Analysis.
    Billings JM; Eder M; Flood WC; Dhami DS; Natarajan S; Whitlow CT
    Neuroimaging Clin N Am; 2017 Nov; 27(4):609-620. PubMed ID: 28985932
    [TBL] [Abstract][Full Text] [Related]  

  • 24. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
    Wachinger C; Reuter M; Klein T
    Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm.
    Lu S; Qiu X; Shi J; Li N; Lu ZH; Chen P; Yang MM; Liu FY; Jia WJ; Zhang Y
    CNS Neurol Disord Drug Targets; 2017; 16(1):23-29. PubMed ID: 27774876
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
    Naceur MB; Saouli R; Akil M; Kachouri R
    Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep Learning: A Primer for Radiologists.
    Chartrand G; Cheng PM; Vorontsov E; Drozdzal M; Turcotte S; Pal CJ; Kadoury S; Tang A
    Radiographics; 2017; 37(7):2113-2131. PubMed ID: 29131760
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Overview of deep learning in medical imaging.
    Suzuki K
    Radiol Phys Technol; 2017 Sep; 10(3):257-273. PubMed ID: 28689314
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Machine learning and deep learning for brain tumor MRI image segmentation.
    Khan MKH; Guo W; Liu J; Dong F; Li Z; Patterson TA; Hong H
    Exp Biol Med (Maywood); 2023 Nov; 248(21):1974-1992. PubMed ID: 38102956
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration.
    Zurowietz M; Langenkämper D; Hosking B; Ruhl HA; Nattkemper TW
    PLoS One; 2018; 13(11):e0207498. PubMed ID: 30444917
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A machine learning based approach towards high-dimensional mediation analysis.
    Nath T; Caffo B; Wager T; Lindquist MA
    Neuroimage; 2023 Mar; 268():119843. PubMed ID: 36586543
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An Improved Brain MRI Classification Methodology Based on Statistical Features and Machine Learning Algorithms.
    Fayaz M; Qureshi MS; Kussainova K; Burkanova B; Aljarbouh A; Qureshi MB
    Comput Math Methods Med; 2021; 2021():8608305. PubMed ID: 34917168
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.
    Kim HC; Bandettini PA; Lee JH
    Neuroimage; 2019 Feb; 186():607-627. PubMed ID: 30366076
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep Learning: An Update for Radiologists.
    Cheng PM; Montagnon E; Yamashita R; Pan I; Cadrin-Chênevert A; Perdigón Romero F; Chartrand G; Kadoury S; Tang A
    Radiographics; 2021; 41(5):1427-1445. PubMed ID: 34469211
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Super-resolution reconstruction of MR image with a novel residual learning network algorithm.
    Shi J; Liu Q; Wang C; Zhang Q; Ying S; Xu H
    Phys Med Biol; 2018 Apr; 63(8):085011. PubMed ID: 29583134
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Learning brain representation using recurrent Wasserstein generative adversarial net.
    Qiang N; Dong Q; Liang H; Li J; Zhang S; Zhang C; Ge B; Sun Y; Gao J; Liu T; Yue H; Zhao S
    Comput Methods Programs Biomed; 2022 Aug; 223():106979. PubMed ID: 35792364
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.
    Guo H; Li Y; Mensah GK; Xu Y; Chen J; Xiang J; Chen D
    Comput Math Methods Med; 2019; 2019():9108108. PubMed ID: 31781290
    [TBL] [Abstract][Full Text] [Related]  

  • 38. An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine.
    Nayak DR; Dash R; Majhi B
    J Med Syst; 2017 Dec; 42(1):19. PubMed ID: 29218420
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning.
    Behera TK; Khan MA; Bakshi S
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1218-1227. PubMed ID: 36269915
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition.
    Rouhafzay G; Cretu AM; Payeur P
    Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375400
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.