160 related articles for article (PubMed ID: 37161172)
1. mfeeU-Net: A multi-scale feature extraction and enhancement U-Net for automatic liver segmentation from CT Images.
Liu J; Yan Z; Zhou C; Shao L; Han Y; Song Y
Math Biosci Eng; 2023 Feb; 20(5):7784-7801. PubMed ID: 37161172
[TBL] [Abstract][Full Text] [Related]
2. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
Wang J; Lv P; Wang H; Shi C
Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
[TBL] [Abstract][Full Text] [Related]
3. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Kushnure DT; Talbar SN
Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
[TBL] [Abstract][Full Text] [Related]
4. ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
Ji Z; Mu J; Liu J; Zhang H; Dai C; Zhang X; Ganchev I
Med Biol Eng Comput; 2024 Jun; 62(6):1673-1687. PubMed ID: 38326677
[TBL] [Abstract][Full Text] [Related]
5. MANet: a multi-attention network for automatic liver tumor segmentation in computed tomography (CT) imaging.
Hettihewa K; Kobchaisawat T; Tanpowpong N; Chalidabhongse TH
Sci Rep; 2023 Nov; 13(1):20098. PubMed ID: 37973987
[TBL] [Abstract][Full Text] [Related]
6. U-Net combined with multi-scale attention mechanism for liver segmentation in CT images.
Wu J; Zhou S; Zuo S; Chen Y; Sun W; Luo J; Duan J; Wang H; Wang D
BMC Med Inform Decis Mak; 2021 Oct; 21(1):283. PubMed ID: 34654419
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT images.
Jiang L; Ou J; Liu R; Zou Y; Xie T; Xiao H; Bai T
Comput Biol Med; 2023 May; 158():106838. PubMed ID: 37030263
[TBL] [Abstract][Full Text] [Related]
9. R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation.
Mubashar M; Ali H; Grönlund C; Azmat S
Neural Comput Appl; 2022; 34(20):17723-17739. PubMed ID: 35694048
[TBL] [Abstract][Full Text] [Related]
10. ASU-Net++: A nested U-Net with adaptive feature extractions for liver tumor segmentation.
Gao Q; Almekkawy M
Comput Biol Med; 2021 Sep; 136():104688. PubMed ID: 34523421
[TBL] [Abstract][Full Text] [Related]
11. Hybrid-attention densely connected U-Net with GAP for extracting livers from CT volumes.
Chen Y; Hu F; Wang Y; Zheng C
Med Phys; 2022 Feb; 49(2):1015-1033. PubMed ID: 35015305
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Feature-guided attention network for medical image segmentation.
Zhou H; Sun C; Huang H; Fan M; Yang X; Zhou L
Med Phys; 2023 Aug; 50(8):4871-4886. PubMed ID: 36746870
[TBL] [Abstract][Full Text] [Related]
14. Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images.
Seo H; Huang C; Bassenne M; Xiao R; Xing L
IEEE Trans Med Imaging; 2020 May; 39(5):1316-1325. PubMed ID: 31634827
[TBL] [Abstract][Full Text] [Related]
15. Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images.
Agnes SA
J Med Phys; 2023; 48(2):161-174. PubMed ID: 37576094
[TBL] [Abstract][Full Text] [Related]
16. Self-channel-and-spatial-attention neural network for automated multi-organ segmentation on head and neck CT images.
Gou S; Tong N; Qi S; Yang S; Chin R; Sheng K
Phys Med Biol; 2020 Dec; 65(24):245034. PubMed ID: 32097892
[TBL] [Abstract][Full Text] [Related]
17. S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images.
Liu H; Yang J; Jiang C; He S; Fu Y; Zhang S; Hu X; Fang J; Ji W
Comput Biol Med; 2024 May; 174():108400. PubMed ID: 38613888
[TBL] [Abstract][Full Text] [Related]
18. ResTransUnet: An effective network combined with Transformer and U-Net for liver segmentation in CT scans.
Ou J; Jiang L; Bai T; Zhan P; Liu R; Xiao H
Comput Biol Med; 2024 Jul; 177():108625. PubMed ID: 38823365
[TBL] [Abstract][Full Text] [Related]
19. RA V-Net: deep learning network for automated liver segmentation.
Lee Z; Qi S; Fan C; Xie Z; Meng J
Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35588720
[No Abstract] [Full Text] [Related]
20. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation.
Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T
Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
