417 related articles for article (PubMed ID: 33669539)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[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. 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]
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. A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation.
Jha D; Smedsrud PH; Johansen D; de Lange T; Johansen HD; Halvorsen P; Riegler MA
IEEE J Biomed Health Inform; 2021 Jun; 25(6):2029-2040. PubMed ID: 33400658
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. N-Net: Lesion region segmentations using the generalized hybrid dilated convolutions for polyps in colonoscopy images.
Cui R; Yang R; Liu F; Cai C
Front Bioeng Biotechnol; 2022; 10():963590. PubMed ID: 36277395
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Gastrointestinal Tract Polyp Anomaly Segmentation on Colonoscopy Images Using Graft-U-Net.
Ramzan M; Raza M; Sharif MI; Kadry S
J Pers Med; 2022 Sep; 12(9):. PubMed ID: 36143244
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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]
[Next] [New Search]
