177 related articles for article (PubMed ID: 32897490)
1. Generative multi-adversarial network for striking the right balance in abdominal image segmentation.
Rezaei M; Näppi JJ; Lippert C; Meinel C; Yoshida H
Int J Comput Assist Radiol Surg; 2020 Nov; 15(11):1847-1858. PubMed ID: 32897490
[TBL] [Abstract][Full Text] [Related]
2. Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks.
Conze PH; Kavur AE; Cornec-Le Gall E; Gezer NS; Le Meur Y; Selver MA; Rousseau F
Artif Intell Med; 2021 Jul; 117():102109. PubMed ID: 34127239
[TBL] [Abstract][Full Text] [Related]
3. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
4. Attentional adversarial training for few-shot medical image segmentation without annotations.
Awudong B; Li Q; Liang Z; Tian L; Yan J
PLoS One; 2024; 19(5):e0298227. PubMed ID: 38696503
[TBL] [Abstract][Full Text] [Related]
5. DualMMP-GAN: Dual-scale multi-modality perceptual generative adversarial network for medical image segmentation.
Zhu L; He Q; Huang Y; Zhang Z; Zeng J; Lu L; Kong W; Zhou F
Comput Biol Med; 2022 May; 144():105387. PubMed ID: 35305502
[TBL] [Abstract][Full Text] [Related]
6. Image generation by GAN and style transfer for agar plate image segmentation.
Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
[TBL] [Abstract][Full Text] [Related]
7. Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator.
Wu H; Lu X; Lei B; Wen Z
Med Image Anal; 2021 Feb; 68():101891. PubMed ID: 33260108
[TBL] [Abstract][Full Text] [Related]
8. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
Jiang Y; Zhang S; Chi J
J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
[TBL] [Abstract][Full Text] [Related]
9. MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation.
Huang K; Zhang Y; Cheng HD; Xing P
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3193-3196. PubMed ID: 34891920
[TBL] [Abstract][Full Text] [Related]
10. Automatic multiorgan segmentation in thorax CT images using U-net-GAN.
Dong X; Lei Y; Wang T; Thomas M; Tang L; Curran WJ; Liu T; Yang X
Med Phys; 2019 May; 46(5):2157-2168. PubMed ID: 30810231
[TBL] [Abstract][Full Text] [Related]
11. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.
Sandfort V; Yan K; Pickhardt PJ; Summers RM
Sci Rep; 2019 Nov; 9(1):16884. PubMed ID: 31729403
[TBL] [Abstract][Full Text] [Related]
12. Combo loss: Handling input and output imbalance in multi-organ segmentation.
Taghanaki SA; Zheng Y; Kevin Zhou S; Georgescu B; Sharma P; Xu D; Comaniciu D; Hamarneh G
Comput Med Imaging Graph; 2019 Jul; 75():24-33. PubMed ID: 31129477
[TBL] [Abstract][Full Text] [Related]
13. A partial convolution generative adversarial network for lesion synthesis and enhanced liver tumor segmentation.
Liu Y; Yang F; Yang Y
J Appl Clin Med Phys; 2023 Apr; 24(4):e13927. PubMed ID: 36800255
[TBL] [Abstract][Full Text] [Related]
14. On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images.
Al Khalil Y; Amirrajab S; Lorenz C; Weese J; Pluim J; Breeuwer M
Med Image Anal; 2023 Feb; 84():102688. PubMed ID: 36493702
[TBL] [Abstract][Full Text] [Related]
15. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
Guo X; Schwartz LH; Zhao B
Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
[TBL] [Abstract][Full Text] [Related]
16. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J
Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805
[TBL] [Abstract][Full Text] [Related]
17. Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders.
Zhao J; Huang J; Zhi D; Yan W; Ma X; Yang X; Li X; Ke Q; Jiang T; Calhoun VD; Sui J
J Neurosci Methods; 2020 Jul; 341():108756. PubMed ID: 32380227
[TBL] [Abstract][Full Text] [Related]
18. The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.
Kessler DA; MacKay JW; Crowe VA; Henson FMD; Graves MJ; Gilbert FJ; Kaggie JD
Comput Med Imaging Graph; 2020 Dec; 86():101793. PubMed ID: 33075675
[TBL] [Abstract][Full Text] [Related]
19. A Performance Improvement Strategy for Concrete Damage Detection Using Stacking Ensemble Learning of Multiple Semantic Segmentation Networks.
Li S; Zhao X
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591030
[TBL] [Abstract][Full Text] [Related]
20. CTumorGAN: a unified framework for automatic computed tomography tumor segmentation.
Pang S; Du A; Orgun MA; Yu Z; Wang Y; Wang Y; Liu G
Eur J Nucl Med Mol Imaging; 2020 Sep; 47(10):2248-2268. PubMed ID: 32222809
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
