775 related articles for article (PubMed ID: 28526212)
1. 3D deeply supervised network for automated segmentation of volumetric medical images.
Dou Q; Yu L; Chen H; Jin Y; Yang X; Qin J; Heng PA
Med Image Anal; 2017 Oct; 41():40-54. PubMed ID: 28526212
[TBL] [Abstract][Full Text] [Related]
2. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
[TBL] [Abstract][Full Text] [Related]
3. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
Zhou X; Takayama R; Wang S; Hara T; Fujita H
Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
[TBL] [Abstract][Full Text] [Related]
4. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
Chen H; Dou Q; Yu L; Qin J; Heng PA
Neuroimage; 2018 Apr; 170():446-455. PubMed ID: 28445774
[TBL] [Abstract][Full Text] [Related]
5. Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.
Feng X; Qing K; Tustison NJ; Meyer CH; Chen Q
Med Phys; 2019 May; 46(5):2169-2180. PubMed ID: 30830685
[TBL] [Abstract][Full Text] [Related]
6. An application of cascaded 3D fully convolutional networks for medical image segmentation.
Roth HR; Oda H; Zhou X; Shimizu N; Yang Y; Hayashi Y; Oda M; Fujiwara M; Misawa K; Mori K
Comput Med Imaging Graph; 2018 Jun; 66():90-99. PubMed ID: 29573583
[TBL] [Abstract][Full Text] [Related]
7. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
8. BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
Guo S; Wang K; Kang H; Zhang Y; Gao Y; Li T
Int J Med Inform; 2019 Jun; 126():105-113. PubMed ID: 31029251
[TBL] [Abstract][Full Text] [Related]
9. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
10. Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.
Fechter T; Adebahr S; Baltas D; Ben Ayed I; Desrosiers C; Dolz J
Med Phys; 2017 Dec; 44(12):6341-6352. PubMed ID: 28940372
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images.
Zeng G; Zheng G
Adv Exp Med Biol; 2018; 1093():73-79. PubMed ID: 30306473
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
13. Multi-level deep supervised networks for retinal vessel segmentation.
Mo J; Zhang L
Int J Comput Assist Radiol Surg; 2017 Dec; 12(12):2181-2193. PubMed ID: 28577175
[TBL] [Abstract][Full Text] [Related]
14. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
Gu L; Cai XC
Artif Intell Med; 2021 Nov; 121():102189. PubMed ID: 34763804
[TBL] [Abstract][Full Text] [Related]
15. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
[TBL] [Abstract][Full Text] [Related]
16. Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.
Mishra D; Chaudhury S; Sarkar M; Soin AS
IEEE Trans Biomed Eng; 2019 Jun; 66(6):1637-1648. PubMed ID: 30346279
[TBL] [Abstract][Full Text] [Related]
17. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
Zhou X
Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
[TBL] [Abstract][Full Text] [Related]
18. AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation.
Baldeon Calisto M; Lai-Yuen SK
Neural Netw; 2020 Jun; 126():76-94. PubMed ID: 32203876
[TBL] [Abstract][Full Text] [Related]
19. Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.
Kearney V; Chan JW; Wang T; Perry A; Yom SS; Solberg TD
Phys Med Biol; 2019 Jul; 64(13):135001. PubMed ID: 31181561
[TBL] [Abstract][Full Text] [Related]
20. Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Lian C; Zhang J; Liu M; Zong X; Hung SC; Lin W; Shen D
Med Image Anal; 2018 May; 46():106-117. PubMed ID: 29518675
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
