BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 37328572)

  • 1. 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]  

  • 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. HIGF-Net: Hierarchical information-guided fusion network for polyp segmentation based on transformer and convolution feature learning.
    Wang J; Tian S; Yu L; Zhou Z; Wang F; Wang Y
    Comput Biol Med; 2023 Jul; 161():107038. PubMed ID: 37230017
    [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 Apr; ():. PubMed ID: 38671336
    [TBL] [Abstract][Full Text] [Related]  

  • 5. HMA-Net: A deep U-shaped network combined with HarDNet and multi-attention mechanism for medical image segmentation.
    Liu Q; Han Z; Liu Z; Zhang J
    Med Phys; 2023 Mar; 50(3):1635-1646. PubMed ID: 36303466
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. HSNet: A hybrid semantic network for polyp segmentation.
    Zhang W; Fu C; Zheng Y; Zhang F; Zhao Y; Sham CW
    Comput Biol Med; 2022 Nov; 150():106173. PubMed ID: 36257278
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-scale nested UNet with transformer for colorectal polyp segmentation.
    Wang Z; Liu Z; Yu J; Gao Y; Liu M
    J Appl Clin Med Phys; 2024 Jun; 25(6):e14351. PubMed ID: 38551396
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. CGMA-Net: Cross-Level Guidance and Multi-Scale Aggregation Network for Polyp Segmentation.
    Zheng J; Yan Y; Zhao L; Pan X
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1424-1435. PubMed ID: 38127598
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Polyp segmentation with interference filtering and dynamic uncertainty mining.
    Zhang Y; Yang G; Gong C; Zhang J; Wang S; Wang Y
    Phys Med Biol; 2024 Mar; 69(7):. PubMed ID: 38382099
    [No Abstract]   [Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. Li-SegPNet: Encoder-Decoder Mode Lightweight Segmentation Network for Colorectal Polyps Analysis.
    Sharma P; Gautam A; Maji P; Pachori RB; Balabantaray BK
    IEEE Trans Biomed Eng; 2023 Apr; 70(4):1330-1339. PubMed ID: 36269902
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.