128 related articles for article (PubMed ID: 34271564)
1. Dual adversarial convolutional networks with multilevel cues for pancreatic segmentation.
Li M; Lian F; Wang C; Guo S
Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34271564
[TBL] [Abstract][Full Text] [Related]
2. Pancreas segmentation based on an adversarial model under two-tier constraints.
Li M; Lian F; Guo S
Phys Med Biol; 2020 Nov; 65(22):225021. PubMed ID: 32906095
[TBL] [Abstract][Full Text] [Related]
3. Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets.
Li M; Lian F; Guo S
J Digit Imaging; 2022 Feb; 35(1):47-55. PubMed ID: 34921356
[TBL] [Abstract][Full Text] [Related]
4. Attention-guided duplex adversarial U-net for pancreatic segmentation from computed tomography images.
Li M; Lian F; Li Y; Guo S
J Appl Clin Med Phys; 2022 Apr; 23(4):e13537. PubMed ID: 35199477
[TBL] [Abstract][Full Text] [Related]
5. Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.
Li M; Lian F; Wang C; Guo S
BMC Med Imaging; 2021 Nov; 21(1):168. PubMed ID: 34772359
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Accurate colorectal tumor segmentation for CT scans based on the label assignment generative adversarial network.
Liu X; Guo S; Zhang H; He K; Mu S; Guo Y; Li X
Med Phys; 2019 Aug; 46(8):3532-3542. PubMed ID: 31087327
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
Nie D; Wang L; Gao Y; Lian J; Shen D
IEEE Trans Neural Netw Learn Syst; 2019 May; 30(5):1552-1564. PubMed ID: 30307879
[TBL] [Abstract][Full Text] [Related]
11. 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
Jia H; Xia Y; Song Y; Zhang D; Huang H; Zhang Y; Cai W
IEEE Trans Med Imaging; 2020 Feb; 39(2):447-457. PubMed ID: 31295109
[TBL] [Abstract][Full Text] [Related]
12. Road crack segmentation using an attention residual U-Net with generative adversarial learning.
Hu X; Yao M; Zhang D
Math Biosci Eng; 2021 Nov; 18(6):9669-9684. PubMed ID: 34814362
[TBL] [Abstract][Full Text] [Related]
13. Liver tumor segmentation in CT volumes using an adversarial densely connected network.
Chen L; Song H; Wang C; Cui Y; Yang J; Hu X; Zhang L
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):587. PubMed ID: 31787071
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A Generative Adversarial Network Fused with Dual-Attention Mechanism and Its Application in Multitarget Image Fine Segmentation.
Yin J; Zhou Z; Xu S; Yang R; Liu K
Comput Intell Neurosci; 2021; 2021():2464648. PubMed ID: 34961814
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
Meng L; Tian Y; Bu S
J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
[TBL] [Abstract][Full Text] [Related]
18. Pulmonary nodule segmentation with CT sample synthesis using adversarial networks.
Qin Y; Zheng H; Huang X; Yang J; Zhu YM
Med Phys; 2019 Mar; 46(3):1218-1229. PubMed ID: 30575046
[TBL] [Abstract][Full Text] [Related]
19. Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet.
Li J; Lin X; Che H; Li H; Qian X
Phys Med Biol; 2021 May; 66(11):. PubMed ID: 33915526
[TBL] [Abstract][Full Text] [Related]
20. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
