141 related articles for article (PubMed ID: 38382386)
1. TFCNet: A texture-aware and fine-grained feature compensated polyp detection network.
Pan X; Mu Y; Ma C; He Q
Comput Biol Med; 2024 Mar; 171():108144. PubMed ID: 38382386
[TBL] [Abstract][Full Text] [Related]
2. TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation.
Song P; Li J; Fan H; Fan L
Comput Biol Med; 2023 Dec; 167():107583. PubMed ID: 37890420
[TBL] [Abstract][Full Text] [Related]
3. SC-Net: Symmetrical conical network for colorectal pathology image segmentation.
Zhang G; He Z; Zhang Y; Li Z; Wu L
Comput Methods Programs Biomed; 2024 May; 248():108119. PubMed ID: 38520785
[TBL] [Abstract][Full Text] [Related]
4. DBMF: Dual Branch Multiscale Feature Fusion Network for polyp segmentation.
Liu F; Hua Z; Li J; Fan L
Comput Biol Med; 2022 Dec; 151(Pt A):106304. PubMed ID: 36401969
[TBL] [Abstract][Full Text] [Related]
5. 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]
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. MFEFNet: Multi-scale feature enhancement and Fusion Network for polyp segmentation.
Xia Y; Yun H; Liu Y
Comput Biol Med; 2023 May; 157():106735. PubMed ID: 36965326
[TBL] [Abstract][Full Text] [Related]
8. Automated polyp segmentation based on a multi-distance feature dissimilarity-guided fully convolutional network.
Mu N; Guo J; Wang R
Math Biosci Eng; 2023 Nov; 20(11):20116-20134. PubMed ID: 38052639
[TBL] [Abstract][Full Text] [Related]
9. EMS-Net: Enhanced Multi-Scale Network for Polyp Segmentation.
Wang M; An X; Li Y; Li N; Hang W; Liu G
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2936-2939. PubMed ID: 34891860
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion.
Huang X; Zhuo L; Zhang H; Yang Y; Li X; Zhang J; Wei W
Comput Med Imaging Graph; 2022 Jun; 98():102072. PubMed ID: 35594809
[TBL] [Abstract][Full Text] [Related]
12. Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network.
Li C; Liu J; Tang J
Math Biosci Eng; 2024 Jan; 21(2):2024-2049. PubMed ID: 38454673
[TBL] [Abstract][Full Text] [Related]
13. Collaborative multi-feature extraction and scale-aware semantic information mining for medical image segmentation.
Zhang R; He Z; Zhu J; Yuan X; Huang G; Pun CM; Peng J; Lin J; Zhou J
Phys Med Biol; 2022 Oct; 67(20):. PubMed ID: 36170875
[No Abstract] [Full Text] [Related]
14. 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]
15. Transformer guided self-adaptive network for multi-scale skin lesion image segmentation.
Xin C; Liu Z; Ma Y; Wang D; Zhang J; Li L; Zhou Q; Xu S; Zhang Y
Comput Biol Med; 2024 Feb; 169():107846. PubMed ID: 38184865
[TBL] [Abstract][Full Text] [Related]
16. CFHA-Net: A polyp segmentation method with cross-scale fusion strategy and hybrid attention.
Yang L; Zhai C; Liu Y; Yu H
Comput Biol Med; 2023 Sep; 164():107301. PubMed ID: 37573723
[TBL] [Abstract][Full Text] [Related]
17. D-SAT: dual semantic aggregation transformer with dual attention for medical image segmentation.
Li H; Ding J; Shi X; Zhang Q; Yu P; Li H
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 37607559
[No Abstract] [Full Text] [Related]
18. Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection.
Gan T; Jin Z; Yu L; Liang X; Zhang H; Ye X
Sci Rep; 2023 Dec; 13(1):21655. PubMed ID: 38066207
[TBL] [Abstract][Full Text] [Related]
19. MSDCNN: A multiscale dilated convolution neural network for fine-grained 3D shape classification.
Zhou W; Zheng F; Zhao Y; Pang Y; Yi J
Neural Netw; 2024 Apr; 172():106141. PubMed ID: 38301340
[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]