132 related articles for article (PubMed ID: 34654419)
1. 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]
2. 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]
3. Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation.
Qian L; Wen C; Li Y; Hu Z; Zhou X; Xia X; Kim SH
Comput Methods Programs Biomed; 2024 Jan; 243():107885. PubMed ID: 37897988
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT.
Wang J; Zhang X; Guo L; Shi C; Tamura S
Math Biosci Eng; 2023 Jan; 20(1):1297-1316. PubMed ID: 36650812
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
[TBL] [Abstract][Full Text] [Related]
8. Research on Medical Image Segmentation Method Based on Improved U-Net3.
Wang C; Li J; Zheng H; Li J; Huang H; Jiang L
Crit Rev Biomed Eng; 2024; 52(4):1-15. PubMed ID: 38780102
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.
Fu Y; Liu J; Shi J
Comput Biol Med; 2024 Mar; 170():107938. PubMed ID: 38219644
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT.
Wang J; Zhang X; Lv P; Wang H; Cheng Y
J Digit Imaging; 2022 Dec; 35(6):1479-1493. PubMed ID: 35711074
[TBL] [Abstract][Full Text] [Related]
13. SADSNet: A robust 3D synchronous segmentation network for liver and liver tumors based on spatial attention mechanism and deep supervision.
Yang S; Liang Y; Wu S; Sun P; Chen Z
J Xray Sci Technol; 2024; 32(3):707-723. PubMed ID: 38552134
[TBL] [Abstract][Full Text] [Related]
14. Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
Zhang B; Qi S; Wu Y; Pan X; Yao Y; Qian W; Guan Y
Comput Methods Programs Biomed; 2022 Jul; 222():106946. PubMed ID: 35716533
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet+.
Li J; Liu K; Hu Y; Zhang H; Heidari AA; Chen H; Zhang W; Algarni AD; Elmannai H
Comput Biol Med; 2023 May; 158():106501. PubMed ID: 36635120
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. N-Net: an UNet architecture with dual encoder for medical image segmentation.
Liang B; Tang C; Zhang W; Xu M; Wu T
Signal Image Video Process; 2023 Mar; ():1-9. PubMed ID: 37362231
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. ETUNet:Exploring efficient transformer enhanced UNet for 3D brain tumor segmentation.
Zhang W; Chen S; Ma Y; Liu Y; Cao X
Comput Biol Med; 2024 Mar; 171():108005. PubMed ID: 38340437
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
