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 *

199 related articles for article (PubMed ID: 33747684)

  • 1. Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.
    Jha D; Ali S; Tomar NK; Johansen HD; Johansen D; Rittscher J; Riegler MA; Halvorsen P
    IEEE Access; 2021; 9():40496-40510. PubMed ID: 33747684
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. NA-segformer: A multi-level transformer model based on neighborhood attention for colonoscopic polyp segmentation.
    Liu D; Lu C; Sun H; Gao S
    Sci Rep; 2024 Sep; 14(1):22527. PubMed ID: 39342011
    [TBL] [Abstract][Full Text] [Related]  

  • 4. UViT-Seg: An Efficient ViT and U-Net-Based Framework for Accurate Colorectal Polyp Segmentation in Colonoscopy and WCE Images.
    Oukdach Y; Garbaz A; Kerkaou Z; El Ansari M; Koutti L; El Ouafdi AF; Salihoun M
    J Imaging Inform Med; 2024 Oct; 37(5):2354-2374. PubMed ID: 38671336
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using DUCK-Net for polyp image segmentation.
    Dumitru RG; Peteleaza D; Craciun C
    Sci Rep; 2023 Jun; 13(1):9803. PubMed ID: 37328572
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation.
    Jia X; Shen Y; Yang J; Song R; Zhang W; Meng MQ; Liao JC; Xing L
    Comput Biol Med; 2024 Mar; 170():108006. PubMed ID: 38325216
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Efficient colorectal polyp segmentation using wavelet transformation and AdaptUNet: A hybrid U-Net.
    Rajasekar D; Theja G; Prusty MR; Chinara S
    Heliyon; 2024 Jul; 10(13):e33655. PubMed ID: 39040380
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Enhanced accuracy with Segmentation of Colorectal Polyp using NanoNetB, and Conditional Random Field Test-Time Augmentation.
    Hussain MS; Asgher U; Nisar S; Socha V; Shaukat A; Wang J; Feng T; Paracha RZ; Khan MA
    Front Robot AI; 2024; 11():1387491. PubMed ID: 39184863
    [TBL] [Abstract][Full Text] [Related]  

  • 9. GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames.
    Raymann J; Rajalakshmi R
    Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611415
    [TBL] [Abstract][Full Text] [Related]  

  • 10. IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.
    Ahamed MF; Syfullah MK; Sarkar O; Islam MT; Nahiduzzaman M; Islam MR; Khandakar A; Ayari MA; Chowdhury MEH
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765780
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation.
    Han J; Xu C; An Z; Qian K; Tan W; Wang D; Fang Q
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808154
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Computer-aided automated diminutive colonic polyp detection in colonoscopy by using deep machine learning system; first indigenous algorithm developed in India.
    Mazumdar S; Sinha S; Jha S; Jagtap B
    Indian J Gastroenterol; 2023 Apr; 42(2):226-232. PubMed ID: 37145230
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation.
    Itoh H; Misawa M; Mori Y; Kudo SE; Oda M; Mori K
    Int J Comput Assist Radiol Surg; 2022 Nov; 17(11):2051-2063. PubMed ID: 35939251
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
    Jha D; Sharma V; Banik D; Bhattacharya D; Roy K; Hicks SA; Tomar NK; Thambawita V; Krenzer A; Ji GP; Poudel S; Batchkala G; Alam S; Ahmed AMA; Trinh QH; Khan Z; Nguyen TP; Shrestha S; Nathan S; Gwak J; Jha RK; Zhang Z; Schlaefer A; Bhattacharjee D; Bhuyan MK; Das PK; Fan DP; Parasa S; Ali S; Riegler MA; Halvorsen P; de Lange T; Bagci U
    Med Image Anal; 2025 Jan; 99():103307. PubMed ID: 39303447
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks.
    Chen S; Urban G; Baldi P
    J Imaging; 2022 Apr; 8(5):. PubMed ID: 35621885
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.