610 related articles for article (PubMed ID: 31421601)
1. 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]
2. Mass Image Synthesis in Mammogram with Contextual Information Based on GANs.
Shen T; Hao K; Gou C; Wang FY
Comput Methods Programs Biomed; 2021 Apr; 202():106019. PubMed ID: 33640650
[TBL] [Abstract][Full Text] [Related]
3. SAP-cGAN: Adversarial learning for breast mass segmentation in digital mammogram based on superpixel average pooling.
Li Y; Zhao G; Zhang Q; Lin Y; Wang M
Med Phys; 2021 Mar; 48(3):1157-1167. PubMed ID: 33340125
[TBL] [Abstract][Full Text] [Related]
4. Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.
Gardner M; Bouchta YB; Mylonas A; Mueller M; Cheng C; Chlap P; Finnegan R; Sykes J; Keall PJ; Nguyen DT
Med Phys; 2023 Jul; 50(7):4206-4219. PubMed ID: 37029643
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. A cGAN-based tumor segmentation method for breast ultrasound images.
You G; Qin Y; Zhao C; Zhao Y; Zhu K; Yang X; Li YL
Phys Med Biol; 2023 Jun; 68(13):. PubMed ID: 37276866
[No Abstract] [Full Text] [Related]
8. Generating Full-Field Digital Mammogram From Digitized Screen-Film Mammogram for Breast Cancer Screening With High-Resolution Generative Adversarial Network.
Zhou Y; Wei J; Wu D; Zhang Y
Front Oncol; 2022; 12():868257. PubMed ID: 35574397
[TBL] [Abstract][Full Text] [Related]
9. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
10. Fully Automated Breast Density Segmentation and Classification Using Deep Learning.
Saffari N; Rashwan HA; Abdel-Nasser M; Kumar Singh V; Arenas M; Mangina E; Herrera B; Puig D
Diagnostics (Basel); 2020 Nov; 10(11):. PubMed ID: 33238512
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
Al-Antari MA; Al-Masni MA; Kim TS
Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
[TBL] [Abstract][Full Text] [Related]
12. Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.
Amirrajab S; Al Khalil Y; Lorenz C; Weese J; Pluim J; Breeuwer M
Comput Med Imaging Graph; 2022 Oct; 101():102123. PubMed ID: 36174308
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. pix2xray: converting RGB images into X-rays using generative adversarial networks.
Haiderbhai M; Ledesma S; Lee SC; Seibold M; Fürnstahl P; Navab N; Fallavollita P
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):973-980. PubMed ID: 32342258
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Generative Adversarial Network for Medical Images (MI-GAN).
Iqbal T; Ali H
J Med Syst; 2018 Oct; 42(11):231. PubMed ID: 30315368
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.
Zhu Y; Hu P; Li X; Tian Y; Bai X; Liang T; Li J
Med Phys; 2022 Sep; 49(9):5799-5818. PubMed ID: 35833617
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
