158 related articles for article (PubMed ID: 33419018)
1. TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation.
Tran ST; Cheng CH; Nguyen TT; Le MH; Liu DG
Healthcare (Basel); 2021 Jan; 9(1):. PubMed ID: 33419018
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.
Zhou Z; Siddiquee MMR; Tajbakhsh N; Liang J
IEEE Trans Med Imaging; 2020 Jun; 39(6):1856-1867. PubMed ID: 31841402
[TBL] [Abstract][Full Text] [Related]
4. UNet++: A Nested U-Net Architecture for Medical Image Segmentation.
Zhou Z; Siddiquee MMR; Tajbakhsh N; Liang J
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018); 2018 Sep; 11045():3-11. PubMed ID: 32613207
[TBL] [Abstract][Full Text] [Related]
5. Improved UNet with Attention for Medical Image Segmentation.
Al Qurri A; Almekkawy M
Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896682
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images.
Mahmud T; Paul B; Fattah SA
Comput Biol Med; 2021 Jan; 128():104119. PubMed ID: 33254083
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A Medical Image Segmentation Method Based on Improved UNet 3+ Network.
Xu Y; Hou S; Wang X; Li D; Lu L
Diagnostics (Basel); 2023 Feb; 13(3):. PubMed ID: 36766681
[TBL] [Abstract][Full Text] [Related]
10. Dual attention fusion UNet for COVID-19 lesion segmentation from CT images.
Ma Y; Zhang Y; Chen L; Jiang Q; Wei B
J Xray Sci Technol; 2023; 31(4):713-729. PubMed ID: 37092210
[TBL] [Abstract][Full Text] [Related]
11. EPolar-UNet: An edge-attending polar UNet for automatic medical image segmentation with small datasets.
Ling Y; Wang Y; Liu Q; Yu J; Xu L; Zhang X; Liang P; Kong D
Med Phys; 2024 Mar; 51(3):1702-1713. PubMed ID: 38299370
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Dense-UNet: a novel multiphoton
Cai S; Tian Y; Lui H; Zeng H; Wu Y; Chen G
Quant Imaging Med Surg; 2020 Jun; 10(6):1275-1285. PubMed ID: 32550136
[TBL] [Abstract][Full Text] [Related]
14. Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet.
Chen Y; Xing L; Yu L; Bagshaw HP; Buyyounouski MK; Han B
Med Phys; 2020 Dec; 47(12):6421-6429. PubMed ID: 33012016
[TBL] [Abstract][Full Text] [Related]
15. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
[TBL] [Abstract][Full Text] [Related]
16. SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images.
Dai H; Xie W; Xia E
Med Phys; 2024 Mar; 51(3):1798-1811. PubMed ID: 37606374
[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. SPA-UNet: A liver tumor segmentation network based on fused multi-scale features.
Li W; Jia M; Yang C; Lin Z; Yu Y; Zhang W
Open Life Sci; 2023; 18(1):20220685. PubMed ID: 37724113
[TBL] [Abstract][Full Text] [Related]
19. MM-UNet: A multimodality brain tumor segmentation network in MRI images.
Zhao L; Ma J; Shao Y; Jia C; Zhao J; Yuan H
Front Oncol; 2022; 12():950706. PubMed ID: 36059677
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]