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 *

223 related articles for article (PubMed ID: 31312276)

  • 21. Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks.
    Rafiq A; Chursin A; Awad Alrefaei W; Rashed Alsenani T; Aldehim G; Abdel Samee N; Menzli LJ
    Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238186
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Serum analysis based on SERS combined with 2D convolutional neural network and Gramian angular field for breast cancer screening.
    Cheng N; Gao Y; Ju S; Kong X; Lyu J; Hou L; Jin L; Shen B
    Spectrochim Acta A Mol Biomol Spectrosc; 2024 May; 312():124054. PubMed ID: 38382221
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Hybrid morphological-convolutional neural networks for computer-aided diagnosis.
    Canales-Fiscal MR; Tamez-Peña JG
    Front Artif Intell; 2023; 6():1253183. PubMed ID: 37795497
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
    Vu H; Kim HC; Jung M; Lee JH
    Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
    P B S; Faruqi F; K S H; Kudva R
    Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Toolkits and Libraries for Deep Learning.
    Erickson BJ; Korfiatis P; Akkus Z; Kline T; Philbrick K
    J Digit Imaging; 2017 Aug; 30(4):400-405. PubMed ID: 28315069
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
    Haq EU; Jianjun H; Huarong X; Li K; Weng L
    Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep convolutional neural network and IoT technology for healthcare.
    Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK
    Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Morphology-based deep learning approach for predicting adipogenic and osteogenic differentiation of human mesenchymal stem cells (hMSCs).
    Mai M; Luo S; Fasciano S; Oluwole TE; Ortiz J; Pang Y; Wang S
    Front Cell Dev Biol; 2023; 11():1329840. PubMed ID: 38099293
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Application of error level analysis in image spam classification using deep learning model.
    Singh AB; Singh KM
    PLoS One; 2023; 18(12):e0291037. PubMed ID: 38096218
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network.
    Chen R; Wang M; Lai Y
    PLoS One; 2020; 15(7):e0235783. PubMed ID: 32634167
    [TBL] [Abstract][Full Text] [Related]  

  • 34. [Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].
    Yu YY
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jan; 23(1):33-37. PubMed ID: 31958928
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Deep learning with convolutional neural network in radiology.
    Yasaka K; Akai H; Kunimatsu A; Kiryu S; Abe O
    Jpn J Radiol; 2018 Apr; 36(4):257-272. PubMed ID: 29498017
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
    Mylonas A; Keall PJ; Booth JT; Shieh CC; Eade T; Poulsen PR; Nguyen DT
    Med Phys; 2019 May; 46(5):2286-2297. PubMed ID: 30929254
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.
    Zhao Y; Ge F; Liu T
    Med Image Anal; 2018 Jul; 47():111-126. PubMed ID: 29705574
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
    Hassanzadeh H; Nguyen A; Karimi S; Chu K
    J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals.
    Khademi Z; Ebrahimi F; Kordy HM
    Comput Biol Med; 2022 Apr; 143():105288. PubMed ID: 35168083
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.