264 related articles for article (PubMed ID: 31329113)
1. Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.
Karimi D; Salcudean SE
IEEE Trans Med Imaging; 2020 Feb; 39(2):499-513. PubMed ID: 31329113
[TBL] [Abstract][Full Text] [Related]
2. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
Meng L; Tian Y; Bu S
J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
[TBL] [Abstract][Full Text] [Related]
3. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.
Karimi D; Zeng Q; Mathur P; Avinash A; Mahdavi S; Spadinger I; Abolmaesumi P; Salcudean SE
Med Image Anal; 2019 Oct; 57():186-196. PubMed ID: 31325722
[TBL] [Abstract][Full Text] [Related]
6. A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
Fu Y; Mazur TR; Wu X; Liu S; Chang X; Lu Y; Li HH; Kim H; Roach MC; Henke L; Yang D
Med Phys; 2018 Nov; 45(11):5129-5137. PubMed ID: 30269345
[TBL] [Abstract][Full Text] [Related]
7. Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.
Karimi D; Samei G; Kesch C; Nir G; Salcudean SE
Int J Comput Assist Radiol Surg; 2018 Aug; 13(8):1211-1219. PubMed ID: 29766373
[TBL] [Abstract][Full Text] [Related]
8. Automatic prostate segmentation based on fusion between deep network and variational methods.
Tan L; Liang A; Li L; Liu W; Kang H; Chen C
J Xray Sci Technol; 2019; 27(5):821-837. PubMed ID: 31403960
[TBL] [Abstract][Full Text] [Related]
9. Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation.
Qin W; Wu J; Han F; Yuan Y; Zhao W; Ibragimov B; Gu J; Xing L
Phys Med Biol; 2018 May; 63(9):095017. PubMed ID: 29633960
[TBL] [Abstract][Full Text] [Related]
10. Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.
Zhu Q; Du B; Yan P
IEEE Trans Med Imaging; 2020 Mar; 39(3):753-763. PubMed ID: 31425022
[TBL] [Abstract][Full Text] [Related]
11. Holistic decomposition convolution for effective semantic segmentation of medical volume images.
Zeng G; Zheng G
Med Image Anal; 2019 Oct; 57():149-164. PubMed ID: 31302511
[TBL] [Abstract][Full Text] [Related]
12. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
13. Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.
Zhu J; Zhang J; Qiu B; Liu Y; Liu X; Chen L
Acta Oncol; 2019 Feb; 58(2):257-264. PubMed ID: 30398090
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Medical image segmentation and reconstruction of prostate tumor based on 3D AlexNet.
Chen J; Wan Z; Zhang J; Li W; Chen Y; Li Y; Duan Y
Comput Methods Programs Biomed; 2021 Mar; 200():105878. PubMed ID: 33308904
[TBL] [Abstract][Full Text] [Related]
16. A novel registration-based algorithm for prostate segmentation via the combination of SSM and CNN.
Qin C; Tu P; Chen X; Troccaz J
Med Phys; 2022 Aug; 49(8):5268-5282. PubMed ID: 35506596
[TBL] [Abstract][Full Text] [Related]
17. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
Guo X; Schwartz LH; Zhao B
Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A reciprocal learning strategy for semisupervised medical image segmentation.
Zeng X; Huang R; Zhong Y; Xu Z; Liu Z; Wang Y
Med Phys; 2023 Jan; 50(1):163-177. PubMed ID: 35950367
[TBL] [Abstract][Full Text] [Related]
20. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]