220 related articles for article (PubMed ID: 36275973)
1. 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]
2. 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]
3. GC-Net: Global context network for medical image segmentation.
Ni J; Wu J; Tong J; Chen Z; Zhao J
Comput Methods Programs Biomed; 2020 Jul; 190():105121. PubMed ID: 31623863
[TBL] [Abstract][Full Text] [Related]
4. MHSU-Net: A more versatile neural network for medical image segmentation.
Ma H; Zou Y; Liu PX
Comput Methods Programs Biomed; 2021 Sep; 208():106230. PubMed ID: 34148011
[TBL] [Abstract][Full Text] [Related]
5. Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM.
He Y; Sun H; Yi Y; Chen W; Kong J; Zheng C
Med Phys; 2022 May; 49(5):3144-3158. PubMed ID: 35172016
[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. MEA-Net: multilayer edge attention network for medical image segmentation.
Liu H; Feng Y; Xu H; Liang S; Liang H; Li S; Zhu J; Yang S; Li F
Sci Rep; 2022 May; 12(1):7868. PubMed ID: 35551234
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation.
Du H; Wang J; Liu M; Wang Y; Meijering E
IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):5355-5366. PubMed ID: 36121961
[TBL] [Abstract][Full Text] [Related]
11. AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network.
Yu M; Chen X; Zhang W; Liu Y
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458917
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. HMT-Net: Transformer and MLP Hybrid Encoder for Skin Disease Segmentation.
Yang S; Wang L
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991777
[TBL] [Abstract][Full Text] [Related]
14. Tooth CT Image Segmentation Method Based on the U-Net Network and Attention Module.
Tao S; Wang Z
Comput Math Methods Med; 2022; 2022():3289663. PubMed ID: 36035284
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
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. Road crack segmentation using an attention residual U-Net with generative adversarial learning.
Hu X; Yao M; Zhang D
Math Biosci Eng; 2021 Nov; 18(6):9669-9684. PubMed ID: 34814362
[TBL] [Abstract][Full Text] [Related]
20. UCR-Net: U-shaped context residual network for medical image segmentation.
Sun Q; Dai M; Lan Z; Cai F; Wei L; Yang C; Chen R
Comput Biol Med; 2022 Dec; 151(Pt A):106203. PubMed ID: 36306581
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
