273 related articles for article (PubMed ID: 35717404)
1. FCRB U-Net: A novel fully connected residual block U-Net for fetal cerebellum ultrasound image segmentation.
Shu X; Gu Y; Zhang X; Hu C; Cheng K
Comput Biol Med; 2022 Sep; 148():105693. PubMed ID: 35717404
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[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. Breast Tumor Ultrasound Image Segmentation Method Based on Improved Residual U-Net Network.
Zhao T; Dai H
Comput Intell Neurosci; 2022; 2022():3905998. PubMed ID: 35795762
[TBL] [Abstract][Full Text] [Related]
6. [A computed tomography image segmentation algorithm for improving the diagnostic accuracy of rectal cancer based on U-net and residual block].
Wang H; Ji B; He G; Yu W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Feb; 39(1):166-174. PubMed ID: 35231978
[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. Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation.
Chen H; Yan S; Xie M; Ye Y; Ye Y; Zhu D; Su L; Huang J
Comput Methods Programs Biomed; 2022 Mar; 215():106608. PubMed ID: 35063713
[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. 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]
11. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
12. ADR-Net: Context extraction network based on M-Net for medical image segmentation.
Ji L; Jiang X; Gao Y; Fang Z; Cai Q; Wei Z
Med Phys; 2020 Sep; 47(9):4254-4264. PubMed ID: 32602963
[TBL] [Abstract][Full Text] [Related]
13. An MRI brain tumor segmentation method based on improved U-Net.
Zhu J; Zhang R; Zhang H
Math Biosci Eng; 2024 Jan; 21(1):778-791. PubMed ID: 38303443
[TBL] [Abstract][Full Text] [Related]
14. Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation.
Ashkani Chenarlogh V; Ghelich Oghli M; Shabanzadeh A; Sirjani N; Akhavan A; Shiri I; Arabi H; Sanei Taheri M; Tarzamni MK
Ultrason Imaging; 2022 Jan; 44(1):25-38. PubMed ID: 34986724
[TBL] [Abstract][Full Text] [Related]
15. RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.
Li YZ; Wang Y; Huang YH; Xiang P; Liu WX; Lai QQ; Gao YY; Xu MS; Guo YF
Comput Methods Programs Biomed; 2023 Apr; 231():107437. PubMed ID: 36863157
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation.
Zheng S; Lin X; Zhang W; He B; Jia S; Wang P; Jiang H; Shi J; Jia F
Comput Biol Med; 2021 Mar; 130():104183. PubMed ID: 33360107
[TBL] [Abstract][Full Text] [Related]
18. BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation.
Li D; Rahardja S
Comput Methods Programs Biomed; 2021 Jun; 205():106070. PubMed ID: 33857703
[TBL] [Abstract][Full Text] [Related]
19. A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.
Sarica B; Seker DZ; Bayram B
Int J Med Inform; 2023 Feb; 170():104965. PubMed ID: 36580821
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
