174 related articles for article (PubMed ID: 36086414)
1. Deformable attention (DANet) for semantic image segmentation.
Rajamani K; Gowda SD; Tej VN; Rajamani ST
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3781-3784. PubMed ID: 36086414
[TBL] [Abstract][Full Text] [Related]
2. Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.
Rajamani KT; Siebert H; Heinrich MP
J Biomed Inform; 2021 Jul; 119():103816. PubMed ID: 34022421
[TBL] [Abstract][Full Text] [Related]
3. Attention-augmented U-Net (AA-U-Net) for semantic segmentation.
Rajamani KT; Rani P; Siebert H; ElagiriRamalingam R; Heinrich MP
Signal Image Video Process; 2023; 17(4):981-989. PubMed ID: 35910403
[TBL] [Abstract][Full Text] [Related]
4. Multiple-Attention Mechanism Network for Semantic Segmentation.
Wang D; Xiang S; Zhou Y; Mu J; Zhou H; Irampaye R
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746258
[TBL] [Abstract][Full Text] [Related]
5. MMViT-Seg: A lightweight transformer and CNN fusion network for COVID-19 segmentation.
Yang Y; Zhang L; Ren L; Wang X
Comput Methods Programs Biomed; 2023 Mar; 230():107348. PubMed ID: 36706618
[TBL] [Abstract][Full Text] [Related]
6. Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images.
Zhao D; Ge W; Chen P; Hu Y; Dang Y; Liang R; Guo X
Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366169
[TBL] [Abstract][Full Text] [Related]
7. SWTRU: Star-shaped Window Transformer Reinforced U-Net for medical image segmentation.
Zhang J; Liu Y; Wu Q; Wang Y; Liu Y; Xu X; Song B
Comput Biol Med; 2022 Nov; 150():105954. PubMed ID: 36122443
[TBL] [Abstract][Full Text] [Related]
8. Using AAEHS-Net as an Attention-Based Auxiliary Extraction and Hybrid Subsampled Network for Semantic Segmentation.
Zhao S; Wang Y; Tian K
Comput Intell Neurosci; 2022; 2022():1536976. PubMed ID: 36275973
[TBL] [Abstract][Full Text] [Related]
9. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
10. Global and Local Feature Reconstruction for Medical Image Segmentation.
Song J; Chen X; Zhu Q; Shi F; Xiang D; Chen Z; Fan Y; Pan L; Zhu W
IEEE Trans Med Imaging; 2022 Sep; 41(9):2273-2284. PubMed ID: 35324437
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data.
Gare GR; Li J; Joshi R; Magar R; Vaze MP; Yousefpour M; Rodriguez RL; Galeotti JM
Med Image Anal; 2022 Feb; 76():102326. PubMed ID: 34936967
[TBL] [Abstract][Full Text] [Related]
13. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
Heinrich MP; Oktay O; Bouteldja N
Med Image Anal; 2019 May; 54():1-9. PubMed ID: 30807894
[TBL] [Abstract][Full Text] [Related]
14. A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks.
Yang C; Guo H
Comput Intell Neurosci; 2022; 2022():5339664. PubMed ID: 36110913
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. E-DU: Deep neural network for multimodal medical image segmentation based on semantic gap compensation.
Wang H; Chen X; Yu R; Wei Z; Yao T; Gao C; Li Y; Wang Z; Yi D; Wu Y
Comput Biol Med; 2022 Dec; 151(Pt A):106206. PubMed ID: 36395592
[TBL] [Abstract][Full Text] [Related]
17. Category guided attention network for brain tumor segmentation in MRI.
Li J; Yu H; Chen C; Ding M; Zha S
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35354136
[No Abstract] [Full Text] [Related]
18. Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: A case study on HeLa line.
Ghaznavi A; Rychtáriková R; Saberioon M; Štys D
Comput Biol Med; 2022 Aug; 147():105805. PubMed ID: 35809410
[TBL] [Abstract][Full Text] [Related]
19. SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules.
Xiong L; Yi C; Xiong Q; Jiang S
BMC Med Imaging; 2024 Jan; 24(1):17. PubMed ID: 38212684
[TBL] [Abstract][Full Text] [Related]
20. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
Liu Z; Yuan H; Wang H
Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]