316 related articles for article (PubMed ID: 29993738)
1. DRINet for Medical Image Segmentation.
Chen L; Bentley P; Mori K; Misawa K; Fujiwara M; Rueckert D
IEEE Trans Med Imaging; 2018 Nov; 37(11):2453-2462. PubMed ID: 29993738
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
[TBL] [Abstract][Full Text] [Related]
5. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
Heinrich MP; Oktay O; Bouteldja N
Med Image Anal; 2019 May; 54():1-9. PubMed ID: 30807894
[TBL] [Abstract][Full Text] [Related]
6. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation.
Sugino T; Roth HR; Oda M; Kin T; Saito N; Nakajima Y; Mori K
Med Phys; 2021 Nov; 48(11):7215-7227. PubMed ID: 34453333
[TBL] [Abstract][Full Text] [Related]
7. Holistic decomposition convolution for effective semantic segmentation of medical volume images.
Zeng G; Zheng G
Med Image Anal; 2019 Oct; 57():149-164. PubMed ID: 31302511
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. A Multi-Scale Context Aware Attention Model for Medical Image Segmentation.
Alam MS; Wang D; Liao Q; Sowmya A
IEEE J Biomed Health Inform; 2023 Aug; 27(8):3731-3739. PubMed ID: 37015493
[TBL] [Abstract][Full Text] [Related]
11. Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy.
Men K; Boimel P; Janopaul-Naylor J; Zhong H; Huang M; Geng H; Cheng C; Fan Y; Plastaras JP; Ben-Josef E; Xiao Y
Phys Med Biol; 2018 Sep; 63(18):185016. PubMed ID: 30109986
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution.
Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L
BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560
[TBL] [Abstract][Full Text] [Related]
14. Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
Zhang W; Li R; Deng H; Wang L; Lin W; Ji S; Shen D
Neuroimage; 2015 Mar; 108():214-24. PubMed ID: 25562829
[TBL] [Abstract][Full Text] [Related]
15. Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI images.
Zhao X; Huang M; Li L; Qi XS; Tan S
Phys Med Biol; 2020 Aug; 65(16):165013. PubMed ID: 32428898
[TBL] [Abstract][Full Text] [Related]
16. Brain image segmentation of the corpus callosum by combining Bi-Directional Convolutional LSTM and U-Net using multi-slice CT and MRI.
Wong KKL; Xu W; Ayoub M; Fu YL; Xu H; Shi R; Zhang M; Su F; Huang Z; Chen W
Comput Methods Programs Biomed; 2023 Aug; 238():107602. PubMed ID: 37244234
[TBL] [Abstract][Full Text] [Related]
17. A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI.
Yamanakkanavar N; Lee B
Comput Biol Med; 2021 Sep; 136():104761. PubMed ID: 34426168
[TBL] [Abstract][Full Text] [Related]
18. Tumor attention networks: Better feature selection, better tumor segmentation.
Pang S; Du A; Orgun MA; Wang Y; Yu Z
Neural Netw; 2021 Aug; 140():203-222. PubMed ID: 33780873
[TBL] [Abstract][Full Text] [Related]
19. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
20. 3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images.
Zeng Z; Zhao T; Sun L; Zhang Y; Xia M; Liao X; Zhang J; Shen D; Wang L; He Y
Hum Brain Mapp; 2023 Mar; 44(4):1779-1792. PubMed ID: 36515219
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
