148 related articles for article (PubMed ID: 32054593)
1. Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.
Hu X; Guo R; Chen J; Li H; Waldmannstetter D; Zhao Y; Li B; Shi K; Menze B
IEEE J Biomed Health Inform; 2020 Sep; 24(9):2599-2608. PubMed ID: 32054593
[TBL] [Abstract][Full Text] [Related]
2. MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention.
Wu Y; Jiang H; Pang W
Comput Biol Med; 2023 May; 158():106818. PubMed ID: 36966557
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. ARPM-net: A novel CNN-based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images.
Zhang Z; Zhao T; Gay H; Zhang W; Sun B
Med Phys; 2021 Jan; 48(1):227-237. PubMed ID: 33151620
[TBL] [Abstract][Full Text] [Related]
5. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
Wickstrøm K; Kampffmeyer M; Jenssen R
Med Image Anal; 2020 Feb; 60():101619. PubMed ID: 31810005
[TBL] [Abstract][Full Text] [Related]
6. SegAN: Adversarial Network with Multi-scale L
Xue Y; Xu T; Zhang H; Long LR; Huang X
Neuroinformatics; 2018 Oct; 16(3-4):383-392. PubMed ID: 29725916
[TBL] [Abstract][Full Text] [Related]
7. Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.
Do HP; Guo Y; Yoon AJ; Nayak KS
Magn Reson Med; 2020 May; 83(5):1863-1874. PubMed ID: 31729078
[TBL] [Abstract][Full Text] [Related]
8. Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation.
Bi L; Fulham M; Li N; Liu Q; Song S; Dagan Feng D; Kim J
Comput Methods Programs Biomed; 2021 May; 203():106043. PubMed ID: 33744750
[TBL] [Abstract][Full Text] [Related]
9. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Diffuse large B-cell lymphoma segmentation in PET-CT images via hybrid learning for feature fusion.
Yuan C; Zhang M; Huang X; Xie W; Lin X; Zhao W; Li B; Qian D
Med Phys; 2021 Jul; 48(7):3665-3678. PubMed ID: 33735451
[TBL] [Abstract][Full Text] [Related]
12. Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Nair T; Precup D; Arnold DL; Arbel T
Med Image Anal; 2020 Jan; 59():101557. PubMed ID: 31677438
[TBL] [Abstract][Full Text] [Related]
13. Generative Adversarial Network Based Automatic Segmentation of Corneal Subbasal Nerves on In Vivo Confocal Microscopy Images.
Yildiz E; Arslan AT; Yildiz Tas A; Acer AF; Demir S; Sahin A; Erol Barkana D
Transl Vis Sci Technol; 2021 May; 10(6):33. PubMed ID: 34038501
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation.
Shi X; Du T; Chen S; Zhang H; Guan C; Xu B
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1612-1615. PubMed ID: 33018303
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Shi T; Jiang H; Zheng B
Comput Methods Programs Biomed; 2020 Dec; 197():105678. PubMed ID: 32791449
[TBL] [Abstract][Full Text] [Related]
20. EFNet: evidence fusion network for tumor segmentation from PET-CT volumes.
Diao Z; Jiang H; Han XH; Yao YD; Shi T
Phys Med Biol; 2021 Oct; 66(20):. PubMed ID: 34555816
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
