382 related articles for article (PubMed ID: 34020373)
1. A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging.
Dogan RO; Dogan H; Bayrak C; Kayikcioglu T
Comput Methods Programs Biomed; 2021 Aug; 207():106141. PubMed ID: 34020373
[TBL] [Abstract][Full Text] [Related]
2. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
3. Automatic segmentation and applicator reconstruction for CT-based brachytherapy of cervical cancer using 3D convolutional neural networks.
Zhang D; Yang Z; Jiang S; Zhou Z; Meng M; Wang W
J Appl Clin Med Phys; 2020 Oct; 21(10):158-169. PubMed ID: 32991783
[TBL] [Abstract][Full Text] [Related]
4. Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation.
Zheng H; Qian L; Qin Y; Gu Y; Yang J
Med Phys; 2020 Nov; 47(11):5543-5554. PubMed ID: 32502278
[TBL] [Abstract][Full Text] [Related]
5. Extension-contraction transformation network for pancreas segmentation in abdominal CT scans.
Zheng Y; Luo J
Comput Biol Med; 2023 Jan; 152():106410. PubMed ID: 36516578
[TBL] [Abstract][Full Text] [Related]
6. Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation.
Asaturyan H; Gligorievski A; Villarini B
Comput Med Imaging Graph; 2019 Jul; 75():1-13. PubMed ID: 31103856
[TBL] [Abstract][Full Text] [Related]
7. A robust and automatic CT-3D ultrasound registration method based on segmentation, context, and edge hybrid metric.
He B; Zhao S; Dai Y; Wu J; Luo H; Guo J; Ni Z; Wu T; Kuang F; Jiang H; Zhang Y; Jia F
Med Phys; 2023 Oct; 50(10):6243-6258. PubMed ID: 36975007
[TBL] [Abstract][Full Text] [Related]
8. Multi-scale U-like network with attention mechanism for automatic pancreas segmentation.
Yan Y; Zhang D
PLoS One; 2021; 16(5):e0252287. PubMed ID: 34043732
[TBL] [Abstract][Full Text] [Related]
9. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
[TBL] [Abstract][Full Text] [Related]
10. Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT.
Bagheri MH; Roth H; Kovacs W; Yao J; Farhadi F; Li X; Summers RM
Acad Radiol; 2020 May; 27(5):689-695. PubMed ID: 31537506
[TBL] [Abstract][Full Text] [Related]
11. Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.
Momin S; Lei Y; McCall NS; Zhang J; Roper J; Harms J; Tian S; Lloyd MS; Liu T; Bradley JD; Higgins K; Yang X
Phys Med Biol; 2022 May; 67(10):. PubMed ID: 35447610
[No Abstract] [Full Text] [Related]
12. Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans.
Boers TGW; Hu Y; Gibson E; Barratt DC; Bonmati E; Krdzalic J; van der Heijden F; Hermans JJ; Huisman HJ
Phys Med Biol; 2020 Mar; 65(6):065002. PubMed ID: 31978921
[TBL] [Abstract][Full Text] [Related]
13. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
14. Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population.
Cai J; Guo X; Wang K; Zhang Y; Zhang D; Zhang X; Wang X
Abdom Radiol (NY); 2022 Mar; 47(3):1082-1090. PubMed ID: 35064795
[TBL] [Abstract][Full Text] [Related]
15. Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network.
Lin Z; Cui Y; Liu J; Sun Z; Ma S; Zhang X; Wang X
Eur Radiol; 2021 Jul; 31(7):5021-5031. PubMed ID: 33439313
[TBL] [Abstract][Full Text] [Related]
16. Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Xu X; Zhou F; Liu B
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):967-975. PubMed ID: 29556905
[TBL] [Abstract][Full Text] [Related]
17. Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction.
Groves LA; VanBerlo B; Veinberg N; Alboog A; Peters TM; Chen ECS
Int J Comput Assist Radiol Surg; 2020 Nov; 15(11):1835-1846. PubMed ID: 32839888
[TBL] [Abstract][Full Text] [Related]
18. Automatic segmentation of the pharyngeal airway space with convolutional neural network.
Shujaat S; Jazil O; Willems H; Van Gerven A; Shaheen E; Politis C; Jacobs R
J Dent; 2021 Aug; 111():103705. PubMed ID: 34077802
[TBL] [Abstract][Full Text] [Related]
19. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
Zhou X
Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
[TBL] [Abstract][Full Text] [Related]
20. Automated pancreas segmentation and volumetry using deep neural network on computed tomography.
Lim SH; Kim YJ; Park YH; Kim D; Kim KG; Lee DH
Sci Rep; 2022 Mar; 12(1):4075. PubMed ID: 35260710
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
