354 related articles for article (PubMed ID: 33428062)
1. Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.
Toda R; Teramoto A; Tsujimoto M; Toyama H; Imaizumi K; Saito K; Fujita H
Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):241-251. PubMed ID: 33428062
[TBL] [Abstract][Full Text] [Related]
2. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.
Ali H; Shah Z
JMIR Med Inform; 2022 Jun; 10(6):e37365. PubMed ID: 35709336
[TBL] [Abstract][Full Text] [Related]
3. Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks.
Jiang B; Zhang Y; Zhang L; H de Bock G; Vliegenthart R; Xie X
Eur Radiol; 2021 Oct; 31(10):7303-7315. PubMed ID: 33847813
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. An Enhanced Priori Knowledge GAN for CT Images Generation of Early Lung Nodules with Small-Size Labelled Samples.
Wang X; Yu Z; Wang L; Zheng P
Oxid Med Cell Longev; 2022; 2022():2129303. PubMed ID: 35746964
[TBL] [Abstract][Full Text] [Related]
6. Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network.
Nishio M; Muramatsu C; Noguchi S; Nakai H; Fujimoto K; Sakamoto R; Fujita H
Comput Biol Med; 2020 Nov; 126():104032. PubMed ID: 33045649
[TBL] [Abstract][Full Text] [Related]
7. Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation.
Toda R; Teramoto A; Kondo M; Imaizumi K; Saito K; Fujita H
Sci Rep; 2022 Jul; 12(1):12867. PubMed ID: 35896575
[TBL] [Abstract][Full Text] [Related]
8. Can Synthetic Images Improve CNN Performance in Wound Image Classification?
Malihi L; Hübner U; Richter ML; Moelleken M; Przysucha M; Busch D; Heggemann J; Hafer G; Wiemeyer S; Heidemann G; Dissemond J; Erfurt-Berge C; Barkhau C; Hendriks A; Hüsers J
Stud Health Technol Inform; 2023 May; 302():927-931. PubMed ID: 37203538
[TBL] [Abstract][Full Text] [Related]
9. Generative adversarial network based data augmentation to improve cervical cell classification model.
Yu S; Zhang S; Wang B; Dun H; Xu L; Huang X; Shi E; Feng X
Math Biosci Eng; 2021 Feb; 18(2):1740-1752. PubMed ID: 33757208
[TBL] [Abstract][Full Text] [Related]
10. A GAN-based image synthesis method for skin lesion classification.
Qin Z; Liu Z; Zhu P; Xue Y
Comput Methods Programs Biomed; 2020 Oct; 195():105568. PubMed ID: 32526536
[TBL] [Abstract][Full Text] [Related]
11. High-content image generation for drug discovery using generative adversarial networks.
Hussain S; Anees A; Das A; Nguyen BP; Marzuki M; Lin S; Wright G; Singhal A
Neural Netw; 2020 Dec; 132():353-363. PubMed ID: 32977280
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease.
Veturi YA; Woof W; Lazebnik T; Moghul I; Woodward-Court P; Wagner SK; Cabral de Guimarães TA; Daich Varela M; Liefers B; Patel PJ; Beck S; Webster AR; Mahroo O; Keane PA; Michaelides M; Balaskas K; Pontikos N
Ophthalmol Sci; 2023 Jun; 3(2):100258. PubMed ID: 36685715
[TBL] [Abstract][Full Text] [Related]
15. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
[TBL] [Abstract][Full Text] [Related]
16. Multi-domain medical image translation generation for lung image classification based on generative adversarial networks.
Chen Y; Lin Y; Xu X; Ding J; Li C; Zeng Y; Xie W; Huang J
Comput Methods Programs Biomed; 2023 Feb; 229():107200. PubMed ID: 36525713
[TBL] [Abstract][Full Text] [Related]
17. Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.
Teramoto A; Tsukamoto T; Yamada A; Kiriyama Y; Imaizumi K; Saito K; Fujita H
PLoS One; 2020; 15(3):e0229951. PubMed ID: 32134949
[TBL] [Abstract][Full Text] [Related]
18. Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Xie Y; Zhang J; Xia Y
Med Image Anal; 2019 Oct; 57():237-248. PubMed ID: 31352126
[TBL] [Abstract][Full Text] [Related]
19. Improved automatic detection of herpesvirus secondary envelopment stages in electron microscopy by augmenting training data with synthetic labelled images generated by a generative adversarial network.
Shaga Devan K; Walther P; von Einem J; Ropinski T; A Kestler H; Read C
Cell Microbiol; 2021 Feb; 23(2):e13280. PubMed ID: 33073426
[TBL] [Abstract][Full Text] [Related]
20. Detecting and Extracting Brain Hemorrhages from CT Images Using Generative Convolutional Imaging Scheme.
Pandimurugan V; Rajasoundaran S; Routray S; Prabu AV; Alyami H; Alharbi A; Ahmad S
Comput Intell Neurosci; 2022; 2022():6671234. PubMed ID: 35571726
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
