191 related articles for article (PubMed ID: 36800255)
1. 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]
2. Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks.
Sun Y; Li Y; Wang P; He D; Wang Z
J Digit Imaging; 2022 Jun; 35(3):459-468. PubMed ID: 35132523
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation.
Huang K; Li M; Yu J; Miao J; Hu Z; Yuan S; Chen Q
Comput Methods Programs Biomed; 2023 Feb; 229():107306. PubMed ID: 36580822
[TBL] [Abstract][Full Text] [Related]
5. Learning from adversarial medical images for X-ray breast mass segmentation.
Shen T; Gou C; Wang FY; He Z; Chen W
Comput Methods Programs Biomed; 2019 Oct; 180():105012. PubMed ID: 31421601
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Label-free coronavirus disease 2019 lesion segmentation based on synthetic healthy lung image subtraction.
Fang C; Liu Y; Liu Y; Liu M; Qiu X; Li Y; Wen J; Yang Y
Med Phys; 2022 Jul; 49(7):4632-4641. PubMed ID: 35397134
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks.
Kossen T; Subramaniam P; Madai VI; Hennemuth A; Hildebrand K; Hilbert A; Sobesky J; Livne M; Galinovic I; Khalil AA; Fiebach JB; Frey D
Comput Biol Med; 2021 Apr; 131():104254. PubMed ID: 33618105
[TBL] [Abstract][Full Text] [Related]
10. Skin lesion segmentation via generative adversarial networks with dual discriminators.
Lei B; Xia Z; Jiang F; Jiang X; Ge Z; Xu Y; Qin J; Chen S; Wang T; Wang S
Med Image Anal; 2020 Aug; 64():101716. PubMed ID: 32492581
[TBL] [Abstract][Full Text] [Related]
11. Can Generative Adversarial Networks help to overcome the limited data problem in segmentation?
Heilemann G; Matthewman M; Kuess P; Goldner G; Widder J; Georg D; Zimmermann L
Z Med Phys; 2022 Aug; 32(3):361-368. PubMed ID: 34930685
[TBL] [Abstract][Full Text] [Related]
12. Ultrasonic breast tumor extraction based on adversarial mechanism and active contour.
Wang J; Chen G; Chen S; Joseph Raj AN; Zhuang Z; Xie L; Ma S
Comput Methods Programs Biomed; 2022 Oct; 225():107052. PubMed ID: 35985149
[TBL] [Abstract][Full Text] [Related]
13. Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.
Subramaniam P; Kossen T; Ritter K; Hennemuth A; Hildebrand K; Hilbert A; Sobesky J; Livne M; Galinovic I; Khalil AA; Fiebach JB; Frey D; Madai VI
Med Image Anal; 2022 May; 78():102396. PubMed ID: 35231850
[TBL] [Abstract][Full Text] [Related]
14. Automated fibroglandular tissue segmentation in breast MRI using generative adversarial networks.
Ma X; Wang J; Zheng X; Liu Z; Long W; Zhang Y; Wei J; Lu Y
Phys Med Biol; 2020 May; 65(10):105006. PubMed ID: 32155611
[TBL] [Abstract][Full Text] [Related]
15. Generative adversarial networks based skin lesion segmentation.
Innani S; Dutande P; Baid U; Pokuri V; Bakas S; Talbar S; Baheti B; Guntuku SC
Sci Rep; 2023 Aug; 13(1):13467. PubMed ID: 37596306
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.
Hazra D; Byun YC; Kim WJ
Comput Methods Programs Biomed; 2022 Sep; 224():107019. PubMed ID: 35878483
[TBL] [Abstract][Full Text] [Related]
19. A generative adversarial neural network with multi-attention feature extraction for fundus lesion segmentation.
Yuan H; Dai M; Shi C; Li M; Li H
Int Ophthalmol; 2023 Dec; 43(12):5079-5090. PubMed ID: 37851139
[TBL] [Abstract][Full Text] [Related]
20. CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation.
Tyagi S; Talbar SN
Comput Biol Med; 2022 Aug; 147():105781. PubMed ID: 35777084
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]