BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 38632703)

  • 1. Deep neural network uncertainty estimation for early oral cancer diagnosis.
    Lin H; Chen H; Lin J
    J Oral Pathol Med; 2024 May; 53(5):294-302. PubMed ID: 38632703
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic detection of oral cancer in smartphone-based images using deep learning for early diagnosis.
    Lin H; Chen H; Weng L; Shao J; Lin J
    J Biomed Opt; 2021 Aug; 26(8):. PubMed ID: 34453419
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
    Abdar M; Samami M; Dehghani Mahmoodabad S; Doan T; Mazoure B; Hashemifesharaki R; Liu L; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S
    Comput Biol Med; 2021 Aug; 135():104418. PubMed ID: 34052016
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images.
    Song B; Li S; Sunny S; Gurushanth K; Mendonca P; Mukhia N; Patrick S; Peterson T; Gurudath S; Raghavan S; Tsusennaro I; Leivon S; Kolur T; Shetty V; Bushan V; Ramesh R; Pillai V; Wilder-Smith P; Suresh A; Kuriakose MA; Birur P; Liang R
    J Biomed Opt; 2022 Nov; 27(11):. PubMed ID: 36329004
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.
    Gudhe NR; Kosma VM; Behravan H; Mannermaa A
    BMC Med Imaging; 2023 Oct; 23(1):162. PubMed ID: 37858043
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case.
    Sahlsten J; Jaskari J; Wahid KA; Ahmed S; Glerean E; He R; Kann BH; Mäkitie A; Fuller CD; Naser MA; Kaski K
    medRxiv; 2023 Feb; ():. PubMed ID: 36865296
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction.
    Scalia G; Grambow CA; Pernici B; Li YP; Green WH
    J Chem Inf Model; 2020 Jun; 60(6):2697-2717. PubMed ID: 32243154
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Information Aware max-norm Dirichlet networks for predictive uncertainty estimation.
    Tsiligkaridis T
    Neural Netw; 2021 Mar; 135():105-114. PubMed ID: 33383525
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.
    Murad A; Kraemer FA; Bach K; Taylor G
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34884011
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Uncertainty propagation for dropout-based Bayesian neural networks.
    Mae Y; Kumagai W; Kanamori T
    Neural Netw; 2021 Dec; 144():394-406. PubMed ID: 34562813
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.
    Bargagna F; De Santi LA; Martini N; Genovesi D; Favilli B; Vergaro G; Emdin M; Giorgetti A; Positano V; Santarelli MF
    J Digit Imaging; 2023 Dec; 36(6):2567-2577. PubMed ID: 37787869
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Bayesian deep learning method for freeway incident detection with uncertainty quantification.
    Liu G; Jin H; Li J; Hu X; Li J
    Accid Anal Prev; 2022 Oct; 176():106796. PubMed ID: 35985178
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Enhancing skin lesion classification with advanced deep learning ensemble models: a path towards accurate medical diagnostics.
    Munuswamy Selvaraj K; Gnanagurusubbiah S; Roby Roy RR; John Peter JH; Balu S
    Curr Probl Cancer; 2024 Apr; 49():101077. PubMed ID: 38480028
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
    Nair T; Precup D; Arnold DL; Arbel T
    Med Image Anal; 2020 Jan; 59():101557. PubMed ID: 31677438
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian deep learning-based
    Lee HH; Kim H
    Magn Reson Med; 2022 Jul; 88(1):38-52. PubMed ID: 35344604
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.
    Roy AG; Conjeti S; Navab N; Wachinger C;
    Neuroimage; 2019 Jul; 195():11-22. PubMed ID: 30926511
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.
    Nomura Y; Tanaka S; Wang J; Shirato H; Shimizu S; Xing L
    Phys Med Biol; 2021 Mar; 66(6):065029. PubMed ID: 33626513
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout.
    Klanecek Z; Wagner T; Wang YK; Cockmartin L; Marshall N; Schott B; Deatsch A; Studen A; Hertl K; Jarm K; Krajc M; Vrhovec M; Bosmans H; Jeraj R
    Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37137317
    [No Abstract]   [Full Text] [Related]  

  • 19. InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography.
    Nam B; Bark B; Lee J; Kim IY
    BMC Med Inform Decis Mak; 2024 Feb; 24(1):50. PubMed ID: 38355559
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Leveraging uncertainty information from deep neural networks for disease detection.
    Leibig C; Allken V; Ayhan MS; Berens P; Wahl S
    Sci Rep; 2017 Dec; 7(1):17816. PubMed ID: 29259224
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.