148 related articles for article (PubMed ID: 38303443)
1. 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]
2. 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]
3. 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]
4. Convolutional neural network-based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse.
Feng F; Ashton-Miller JA; DeLancey JOL; Luo J
Med Phys; 2020 Sep; 47(9):4281-4293. PubMed ID: 32638370
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Convolutional neural network for automated mass segmentation in mammography.
Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
[TBL] [Abstract][Full Text] [Related]
7. mResU-Net: multi-scale residual U-Net-based brain tumor segmentation from multimodal MRI.
Li P; Li Z; Wang Z; Li C; Wang M
Med Biol Eng Comput; 2024 Mar; 62(3):641-651. PubMed ID: 37981627
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. MAU-Net: Mixed attention U-Net for MRI brain tumor segmentation.
Zhang Y; Han Y; Zhang J
Math Biosci Eng; 2023 Nov; 20(12):20510-20527. PubMed ID: 38124563
[TBL] [Abstract][Full Text] [Related]
10. Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.
Gi Y; Oh G; Jo Y; Lim H; Ko Y; Hong J; Lee E; Park S; Kwak T; Kim S; Yoon M
Med Phys; 2024 Mar; 51(3):2230-2238. PubMed ID: 37956307
[TBL] [Abstract][Full Text] [Related]
11. Improving brain tumor segmentation on MRI based on the deep U-net and residual units.
Yang T; Song J; Li L; Tang Q
J Xray Sci Technol; 2020; 28(1):95-110. PubMed ID: 31839620
[TBL] [Abstract][Full Text] [Related]
12. MRF-IUNet: A Multiresolution Fusion Brain Tumor Segmentation Network Based on Improved Inception U-Net.
Jiang Y; Ye M; Wang P; Huang D; Lu X
Comput Math Methods Med; 2022; 2022():6305748. PubMed ID: 35966244
[TBL] [Abstract][Full Text] [Related]
13. Design of lung nodules segmentation and recognition algorithm based on deep learning.
Yu H; Li J; Zhang L; Cao Y; Yu X; Sun J
BMC Bioinformatics; 2021 Nov; 22(Suppl 5):314. PubMed ID: 34749636
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. PS5-Net: a medical image segmentation network with multiscale resolution.
Li F; Liu Y; Qi J; Du Y; Wang Q; Ma W; Xu X; Zhang Z
J Med Imaging (Bellingham); 2024 Jan; 11(1):014008. PubMed ID: 38379775
[TBL] [Abstract][Full Text] [Related]
18. CLCU-Net: Cross-level connected U-shaped network with selective feature aggregation attention module for brain tumor segmentation.
Wang YL; Zhao ZJ; Hu SY; Chang FL
Comput Methods Programs Biomed; 2021 Aug; 207():106154. PubMed ID: 34034031
[TBL] [Abstract][Full Text] [Related]
19. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
20. Second-order ResU-Net for automatic MRI brain tumor segmentation.
Sheng N; Liu D; Zhang J; Che C; Zhang J
Math Biosci Eng; 2021 Jun; 18(5):4943-4960. PubMed ID: 34517471
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]