356 related articles for article (PubMed ID: 32305947)
1. Multi-Scale Self-Guided Attention for Medical Image Segmentation.
Sinha A; Dolz J
IEEE J Biomed Health Inform; 2021 Jan; 25(1):121-130. PubMed ID: 32305947
[TBL] [Abstract][Full Text] [Related]
2. Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation.
Dayananda C; Choi JY; Lee B
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34066042
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. LM-Net: A light-weight and multi-scale network for medical image segmentation.
Lu Z; She C; Wang W; Huang Q
Comput Biol Med; 2024 Jan; 168():107717. PubMed ID: 38007973
[TBL] [Abstract][Full Text] [Related]
5. Tumor attention networks: Better feature selection, better tumor segmentation.
Pang S; Du A; Orgun MA; Wang Y; Yu Z
Neural Netw; 2021 Aug; 140():203-222. PubMed ID: 33780873
[TBL] [Abstract][Full Text] [Related]
6. CASF-Net: Cross-attention and cross-scale fusion network for medical image segmentation.
Zheng J; Liu H; Feng Y; Xu J; Zhao L
Comput Methods Programs Biomed; 2023 Feb; 229():107307. PubMed ID: 36571889
[TBL] [Abstract][Full Text] [Related]
7. Hybrid-scale contextual fusion network for medical image segmentation.
Bao H; Zhu Y; Li Q
Comput Biol Med; 2023 Jan; 152():106439. PubMed ID: 36566623
[TBL] [Abstract][Full Text] [Related]
8. Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation.
Shi J; Zhang R; Guo L; Gao L; Ma H; Wang J
IEEE J Biomed Health Inform; 2021 Feb; 25(2):504-513. PubMed ID: 32406848
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. MG-Net: Multi-level global-aware network for thymoma segmentation.
Li J; Sun W; von Deneen KM; Fan X; An G; Cui G; Zhang Y
Comput Biol Med; 2023 Mar; 155():106635. PubMed ID: 36791547
[TBL] [Abstract][Full Text] [Related]
11. Explainable multi-module semantic guided attention based network for medical image segmentation.
Karri M; Annavarapu CSR; Acharya UR
Comput Biol Med; 2022 Dec; 151(Pt A):106231. PubMed ID: 36335811
[TBL] [Abstract][Full Text] [Related]
12. Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation.
Chen Y; Lu X; Xie Q
Comput Biol Med; 2023 Sep; 164():107228. PubMed ID: 37473563
[TBL] [Abstract][Full Text] [Related]
13. Attention-modulated multi-branch convolutional neural networks for neonatal brain tissue segmentation.
Fan X; Shan S; Li X; Li J; Mi J; Yang J; Zhang Y
Comput Biol Med; 2022 Jul; 146():105522. PubMed ID: 35525069
[TBL] [Abstract][Full Text] [Related]
14. CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
Gu R; Wang G; Song T; Huang R; Aertsen M; Deprest J; Ourselin S; Vercauteren T; Zhang S
IEEE Trans Med Imaging; 2021 Feb; 40(2):699-711. PubMed ID: 33136540
[TBL] [Abstract][Full Text] [Related]
15. Attention-guided multi-scale context aggregation network for multi-modal brain glioma segmentation.
Wu S; Cao Y; Li X; Liu Q; Ye Y; Liu X; Zeng L; Tian M
Med Phys; 2023 Dec; 50(12):7629-7640. PubMed ID: 37151131
[TBL] [Abstract][Full Text] [Related]
16. FAT-Net: Feature adaptive transformers for automated skin lesion segmentation.
Wu H; Chen S; Chen G; Wang W; Lei B; Wen Z
Med Image Anal; 2022 Feb; 76():102327. PubMed ID: 34923250
[TBL] [Abstract][Full Text] [Related]
17. Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Ashtari P; Sima DM; De Lathauwer L; Sappey-Marinier D; Maes F; Van Huffel S
Med Image Anal; 2023 Feb; 84():102706. PubMed ID: 36516557
[TBL] [Abstract][Full Text] [Related]
18. HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation.
He Q; Yang Q; Xie M
Comput Biol Med; 2023 Mar; 155():106629. PubMed ID: 36787669
[TBL] [Abstract][Full Text] [Related]
19. Boundary-aware context neural network for medical image segmentation.
Wang R; Chen S; Ji C; Fan J; Li Y
Med Image Anal; 2022 May; 78():102395. PubMed ID: 35231851
[TBL] [Abstract][Full Text] [Related]
20. IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.
Chen S; Zou Y; Liu PX
Comput Biol Med; 2021 Aug; 135():104551. PubMed ID: 34157471
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
