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 *

253 related articles for article (PubMed ID: 32172037)

  • 21. SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability.
    Singh RK; Gorantla R; Allada SGR; Narra P
    PLoS One; 2022; 17(10):e0276836. PubMed ID: 36315487
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.
    Younghak Shin ; Balasingham I
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3277-3280. PubMed ID: 29060597
    [TBL] [Abstract][Full Text] [Related]  

  • 23. EpICC: A Bayesian neural network model with uncertainty correction for a more accurate classification of cancer.
    Joshi P; Dhar R
    Sci Rep; 2022 Aug; 12(1):14628. PubMed ID: 36028643
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks.
    Rajaraman S; Ganesan P; Antani S
    PLoS One; 2022; 17(1):e0262838. PubMed ID: 35085334
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Bayesian calibration of process-based forest models: bridging the gap between models and data.
    Van Oijen M; Rougier J; Smith R
    Tree Physiol; 2005 Jul; 25(7):915-27. PubMed ID: 15870058
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
    Urban G; Tripathi P; Alkayali T; Mittal M; Jalali F; Karnes W; Baldi P
    Gastroenterology; 2018 Oct; 155(4):1069-1078.e8. PubMed ID: 29928897
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach.
    Abdullah AA; Hassan MM; Mustafa YT
    Heliyon; 2024 Jan; 10(2):e24188. PubMed ID: 38293520
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology.
    MacDonald S; Foley H; Yap M; Johnston RL; Steven K; Koufariotis LT; Sharma S; Wood S; Addala V; Pearson JV; Roosta F; Waddell N; Kondrashova O; Trzaskowski M
    Sci Rep; 2023 May; 13(1):7395. PubMed ID: 37149669
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy.
    Wang P; Xiao X; Glissen Brown JR; Berzin TM; Tu M; Xiong F; Hu X; Liu P; Song Y; Zhang D; Yang X; Li L; He J; Yi X; Liu J; Liu X
    Nat Biomed Eng; 2018 Oct; 2(10):741-748. PubMed ID: 31015647
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A transfer learning method with deep residual network for pediatric pneumonia diagnosis.
    Liang G; Zheng L
    Comput Methods Programs Biomed; 2020 Apr; 187():104964. PubMed ID: 31262537
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records.
    Li Y; Rao S; Hassaine A; Ramakrishnan R; Canoy D; Salimi-Khorshidi G; Mamouei M; Lukasiewicz T; Rahimi K
    Sci Rep; 2021 Oct; 11(1):20685. PubMed ID: 34667200
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Bayesian deep learning for reliable oral cancer image classification.
    Song B; Sunny S; Li S; Gurushanth K; Mendonca P; Mukhia N; Patrick S; Gurudath S; Raghavan S; Tsusennaro I; Leivon ST; Kolur T; Shetty V; Bushan VR; Ramesh R; Peterson T; Pillai V; Wilder-Smith P; Sigamani A; Suresh A; Kuriakose MA; Birur P; Liang R
    Biomed Opt Express; 2021 Oct; 12(10):6422-6430. PubMed ID: 34745746
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.
    Tanno R; Worrall DE; Kaden E; Ghosh A; Grussu F; Bizzi A; Sotiropoulos SN; Criminisi A; Alexander DC
    Neuroimage; 2021 Jan; 225():117366. PubMed ID: 33039617
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep Learning Empowers Endoscopic Detection and Polyps Classification: A Multiple-Hospital Study.
    Shen MH; Huang CC; Chen YT; Tsai YJ; Liou FM; Chang SC; Phan NN
    Diagnostics (Basel); 2023 Apr; 13(8):. PubMed ID: 37189575
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.
    Zhao X; Qi S; Zhang B; Ma H; Qian W; Yao Y; Sun J
    J Xray Sci Technol; 2019; 27(4):615-629. PubMed ID: 31227682
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Deep Learning and Likelihood Approaches for Viral Phylogeography Converge on the Same Answers Whether the Inference Model Is Right or Wrong.
    Thompson A; Liebeskind BJ; Scully EJ; Landis MJ
    Syst Biol; 2024 May; 73(1):183-206. PubMed ID: 38189575
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Challenges Facing the Detection of Colonic Polyps: What Can Deep Learning Do?
    Azer SA
    Medicina (Kaunas); 2019 Aug; 55(8):. PubMed ID: 31409050
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.
    Pota M; Scalco E; Sanguineti G; Farneti A; Cattaneo GM; Rizzo G; Esposito M
    Artif Intell Med; 2017 Sep; 81():41-53. PubMed ID: 28325604
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Integrating uncertainty in deep neural networks for MRI based stroke analysis.
    Herzog L; Murina E; Dürr O; Wegener S; Sick B
    Med Image Anal; 2020 Oct; 65():101790. PubMed ID: 32801096
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.