These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2205 related articles for article (PubMed ID: 31978805)
1. 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]
2. MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation. Huang K; Zhang Y; Cheng HD; Xing P Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3193-3196. PubMed ID: 34891920 [TBL] [Abstract][Full Text] [Related]
3. Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification. Pang T; Wong JHD; Ng WL; Chan CS Comput Methods Programs Biomed; 2021 May; 203():106018. PubMed ID: 33714900 [TBL] [Abstract][Full Text] [Related]
4. 2S-BUSGAN: A Novel Generative Adversarial Network for Realistic Breast Ultrasound Image with Corresponding Tumor Contour Based on Small Datasets. Luo J; Zhang H; Zhuang Y; Han L; Chen K; Hua Z; Li C; Lin J Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896706 [TBL] [Abstract][Full Text] [Related]
5. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network. Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. BUS-Net: Breast Tumour Detection Network for Ultrasound Images Using Bi-directional ConvLSTM and Dense Residual Connections. Arora R; Raman B J Digit Imaging; 2023 Apr; 36(2):627-646. PubMed ID: 36515746 [TBL] [Abstract][Full Text] [Related]
8. An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss. Manh V; Jia X; Xue W; Xu W; Mei Z; Dong Y; Zhou J; Huang R; Ni D Comput Biol Med; 2024 Mar; 171():108137. PubMed ID: 38447499 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Fully automatic tumor segmentation of breast ultrasound images with deep learning. Zhang S; Liao M; Wang J; Zhu Y; Zhang Y; Zhang J; Zheng R; Lv L; Zhu D; Chen H; Wang W J Appl Clin Med Phys; 2023 Jan; 24(1):e13863. PubMed ID: 36495018 [TBL] [Abstract][Full Text] [Related]
11. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation. Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276 [TBL] [Abstract][Full Text] [Related]
12. Unsupervised shape-and-texture-based generative adversarial tuning of pre-trained networks for carotid segmentation from 3D ultrasound images. Chen Z; Jiang M; Chiu B Med Phys; 2024 Oct; 51(10):7240-7256. PubMed ID: 39008794 [TBL] [Abstract][Full Text] [Related]
13. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis. Zhang E; Seiler S; Chen M; Lu W; Gu X Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605 [TBL] [Abstract][Full Text] [Related]
14. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model. Hu Y; Guo Y; Wang Y; Yu J; Li J; Zhou S; Chang C Med Phys; 2019 Jan; 46(1):215-228. PubMed ID: 30374980 [TBL] [Abstract][Full Text] [Related]
15. Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning. Hasan SMK; Linte CA Appl Sci (Basel); 2022 Dec; 12(23):. PubMed ID: 37125242 [TBL] [Abstract][Full Text] [Related]
16. U-shaped GAN for Semi-Supervised Learning and Unsupervised Domain Adaptation in High Resolution Chest Radiograph Segmentation. Wang H; Gu H; Qin P; Wang J Front Med (Lausanne); 2021; 8():782664. PubMed ID: 35096877 [TBL] [Abstract][Full Text] [Related]
17. SUSAN: segment unannotated image structure using adversarial network. Liu F Magn Reson Med; 2019 May; 81(5):3330-3345. PubMed ID: 30536427 [TBL] [Abstract][Full Text] [Related]
18. An attention-supervised full-resolution residual network for the segmentation of breast ultrasound images. Qu X; Shi Y; Hou Y; Jiang J Med Phys; 2020 Nov; 47(11):5702-5714. PubMed ID: 32964449 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Medical image segmentation with generative adversarial semi-supervised network. Li C; Liu H Phys Med Biol; 2021 Dec; 66(24):. PubMed ID: 34818627 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]