588 related articles for article (PubMed ID: 31425022)
1. 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]
2. 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
Jia H; Xia Y; Song Y; Zhang D; Huang H; Zhang Y; Cai W
IEEE Trans Med Imaging; 2020 Feb; 39(2):447-457. PubMed ID: 31295109
[TBL] [Abstract][Full Text] [Related]
3. Fast interactive medical image segmentation with weakly supervised deep learning method.
Girum KB; Créhange G; Hussain R; Lalande A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI.
Khan Z; Yahya N; Alsaih K; Ali SSA; Meriaudeau F
Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32503330
[TBL] [Abstract][Full Text] [Related]
5. 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]
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. Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.
da Silva GLF; Diniz PS; Ferreira JL; França JVF; Silva AC; de Paiva AC; de Cavalcanti EAA
Med Biol Eng Comput; 2020 Sep; 58(9):1947-1964. PubMed ID: 32566988
[TBL] [Abstract][Full Text] [Related]
8. Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.
Jimenez-Pastor A; Lopez-Gonzalez R; Fos-Guarinos B; Garcia-Castro F; Wittenberg M; Torregrosa-Andrés A; Marti-Bonmati L; Garcia-Fontes M; Duarte P; Gambini JP; Bittencourt LK; Kitamura FC; Venugopal VK; Mahajan V; Ros P; Soria-Olivas E; Alberich-Bayarri A
Eur Radiol; 2023 Jul; 33(7):5087-5096. PubMed ID: 36690774
[TBL] [Abstract][Full Text] [Related]
9. Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.
Ye LY; Miao XY; Cai WS; Xu WJ
Comput Methods Programs Biomed; 2022 Jun; 221():106770. PubMed ID: 35640389
[TBL] [Abstract][Full Text] [Related]
10. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
[TBL] [Abstract][Full Text] [Related]
11. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Automatic prostate segmentation of magnetic resonance imaging using Res-Net.
Kumaraswamy AK; Patil CM
MAGMA; 2022 Aug; 35(4):621-630. PubMed ID: 34890013
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
Chen H; Dou Q; Yu L; Qin J; Heng PA
Neuroimage; 2018 Apr; 170():446-455. PubMed ID: 28445774
[TBL] [Abstract][Full Text] [Related]
16. CAN3D: Fast 3D medical image segmentation via compact context aggregation.
Dai W; Woo B; Liu S; Marques M; Engstrom C; Greer PB; Crozier S; Dowling JA; Chandra SS
Med Image Anal; 2022 Nov; 82():102562. PubMed ID: 36049450
[TBL] [Abstract][Full Text] [Related]
17. HCA-DAN: hierarchical class-aware domain adaptive network for gastric tumor segmentation in 3D CT images.
Yuan N; Zhang Y; Lv K; Liu Y; Yang A; Hu P; Yu H; Han X; Guo X; Li J; Wang T; Lei B; Ma G
Cancer Imaging; 2024 May; 24(1):63. PubMed ID: 38773670
[TBL] [Abstract][Full Text] [Related]
18. Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.
Orlando N; Gyacskov I; Gillies DJ; Guo F; Romagnoli C; D'Souza D; Cool DW; Hoover DA; Fenster A
Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35240585
[TBL] [Abstract][Full Text] [Related]
19. Automatic prostate and peri-prostatic fat segmentation based on pyramid mechanism fusion network for T2-weighted MRI.
Li Y; Wu Y; Huang M; Zhang Y; Bai Z
Comput Methods Programs Biomed; 2022 Aug; 223():106918. PubMed ID: 35779461
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
