547 related articles for article (PubMed ID: 34814362)
21. ADR-Net: Context extraction network based on M-Net for medical image segmentation.
Ji L; Jiang X; Gao Y; Fang Z; Cai Q; Wei Z
Med Phys; 2020 Sep; 47(9):4254-4264. PubMed ID: 32602963
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. 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]
25. GC-Net: Global context network for medical image segmentation.
Ni J; Wu J; Tong J; Chen Z; Zhao J
Comput Methods Programs Biomed; 2020 Jul; 190():105121. PubMed ID: 31623863
[TBL] [Abstract][Full Text] [Related]
26. SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images.
Wang W; Kang Y; Liu G; Wang X
Comput Intell Neurosci; 2022; 2022():8469415. PubMed ID: 35440946
[TBL] [Abstract][Full Text] [Related]
27. BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation.
Li D; Rahardja S
Comput Methods Programs Biomed; 2021 Jun; 205():106070. PubMed ID: 33857703
[TBL] [Abstract][Full Text] [Related]
28. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Generalizable fully automated multi-label segmentation of four-chamber view echocardiograms based on deep convolutional adversarial networks.
Arafati A; Morisawa D; Avendi MR; Amini MR; Assadi RA; Jafarkhani H; Kheradvar A
J R Soc Interface; 2020 Aug; 17(169):20200267. PubMed ID: 32811299
[TBL] [Abstract][Full Text] [Related]
31. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
32. Whole mammographic mass segmentation using attention mechanism and multiscale pooling adversarial network.
Wang Y; Wang S; Chen J; Wu C
J Med Imaging (Bellingham); 2020 Sep; 7(5):054503. PubMed ID: 33102621
[No Abstract] [Full Text] [Related]
33. 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]
34. A method for improving semantic segmentation using thermographic images in infants.
Asano H; Hirakawa E; Hayashi H; Hamada K; Asayama Y; Oohashi M; Uchiyama A; Higashino T
BMC Med Imaging; 2022 Jan; 22(1):1. PubMed ID: 34979965
[TBL] [Abstract][Full Text] [Related]
35. Tongue crack recognition using segmentation based deep learning.
Yan J; Cai J; Xu Z; Guo R; Zhou W; Yan H; Xu Z; Wang Y
Sci Rep; 2023 Jan; 13(1):511. PubMed ID: 36627326
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. 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]
38. A transformer-based generative adversarial network for brain tumor segmentation.
Huang L; Zhu E; Chen L; Wang Z; Chai S; Zhang B
Front Neurosci; 2022; 16():1054948. PubMed ID: 36532274
[TBL] [Abstract][Full Text] [Related]
39. CAB U-Net: An end-to-end category attention boosting algorithm for segmentation.
Ding X; Peng Y; Shen C; Zeng T
Comput Med Imaging Graph; 2020 Sep; 84():101764. PubMed ID: 32721853
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
