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 *

243 related articles for article (PubMed ID: 31947388)

  • 1. Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces.
    Bagheri M; Mohrekesh M; Tehrani M; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6742-6745. PubMed ID: 31947388
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.
    Akbari M; Mohrekesh M; Nasr-Esfahani E; Soroushmehr SMR; Karimi N; Samavi S; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():69-72. PubMed ID: 30440343
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture.
    Eu CY; Tang TB; Lin CH; Lee LH; Lu CK
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451072
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images.
    Mahmud T; Paul B; Fattah SA
    Comput Biol Med; 2021 Jan; 128():104119. PubMed ID: 33254083
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.
    Yeung M; Sala E; Schönlieb CB; Rundo L
    Comput Biol Med; 2021 Oct; 137():104815. PubMed ID: 34507156
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
    Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
    Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Polyp Segmentation using Generative Adversarial Network.
    Poorneshwaran JM; Santhosh Kumar S; Ram K; Joseph J; Sivaprakasam M
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():7201-7204. PubMed ID: 31947496
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution.
    Safarov S; Whangbo TK
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33669539
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
    Wickstrøm K; Kampffmeyer M; Jenssen R
    Med Image Anal; 2020 Feb; 60():101619. PubMed ID: 31810005
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ColonGen: an efficient polyp segmentation system for generalization improvement using a new comprehensive dataset.
    Mozaffari J; Amirkhani A; Shokouhi SB
    Phys Eng Sci Med; 2024 Mar; 47(1):309-325. PubMed ID: 38224384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dual-branch multi-information aggregation network with transformer and convolution for polyp segmentation.
    Zhang W; Lu F; Su H; Hu Y
    Comput Biol Med; 2024 Jan; 168():107760. PubMed ID: 38064849
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Colorectal Polyp Image Detection and Classification through Grayscale Images and Deep Learning.
    Hsu CM; Hsu CC; Hsu ZM; Shih FY; Chang ML; Chen TH
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577209
    [TBL] [Abstract][Full Text] [Related]  

  • 14. APRNet: Alternative Prediction Refinement Network for Polyp Segmentation.
    Shen Y; Jia X; Pan J; Meng MQ
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3114-3117. PubMed ID: 34891901
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Separation of color channels from conventional colonoscopy images improves deep neural network detection of polyps.
    Lai LL; Blakely A; Invernizzi M; Lin J; Kidambi T; Melstrom KA; Yu K; Lu T
    J Biomed Opt; 2021 Jan; 26(1):. PubMed ID: 33442965
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dual encoder-decoder-based deep polyp segmentation network for colonoscopy images.
    Lewis J; Cha YJ; Kim J
    Sci Rep; 2023 Jan; 13(1):1183. PubMed ID: 36681776
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network.
    Yao Y; Gou S; Tian R; Zhang X; He S
    Biomed Res Int; 2021; 2021():6683931. PubMed ID: 33542924
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Colonoscopy polyp classification via enhanced scattering wavelet Convolutional Neural Network.
    Tan J; Yuan J; Fu X; Bai Y
    PLoS One; 2024; 19(10):e0302800. PubMed ID: 39392783
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SR-AttNet: An Interpretable Stretch-Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images.
    Alam MJ; Fattah SA
    Comput Biol Med; 2023 Jun; 160():106945. PubMed ID: 37163966
    [TBL] [Abstract][Full Text] [Related]  

  • 20. M
    Fu J; Lin S; Zhou P; Guo Y; Wang Y
    Phys Med Biol; 2022 Oct; 67(20):. PubMed ID: 36113443
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.