153 related articles for article (PubMed ID: 26590933)
1. Improved segmentation of low-contrast lesions using sigmoid edge model.
Foruzan AH; Chen YW
Int J Comput Assist Radiol Surg; 2016 Jul; 11(7):1267-83. PubMed ID: 26590933
[TBL] [Abstract][Full Text] [Related]
2. A generalized active shape model for segmentation of liver in low-contrast CT volumes.
Esfandiarkhani M; Foruzan AH
Comput Biol Med; 2017 Mar; 82():59-70. PubMed ID: 28161593
[TBL] [Abstract][Full Text] [Related]
3. Robust generative asymmetric GMM for brain MR image segmentation.
Ji Z; Xia Y; Zheng Y
Comput Methods Programs Biomed; 2017 Nov; 151():123-138. PubMed ID: 28946994
[TBL] [Abstract][Full Text] [Related]
4. Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
Wang J; Cheng Y; Guo C; Wang Y; Tamura S
Int J Comput Assist Radiol Surg; 2016 May; 11(5):817-26. PubMed ID: 26646416
[TBL] [Abstract][Full Text] [Related]
5. Automatic 3D CT liver segmentation based on fast global minimization of probabilistic active contour.
Jin R; Wang M; Xu L; Lu J; Song E; Ma G
Med Phys; 2023 Apr; 50(4):2100-2120. PubMed ID: 36413182
[TBL] [Abstract][Full Text] [Related]
6. A two-stage rule-constrained seedless region growing approach for mandibular body segmentation in MRI.
Ji DX; Foong KW; Ong SH
Int J Comput Assist Radiol Surg; 2013 Sep; 8(5):723-32. PubMed ID: 23397281
[TBL] [Abstract][Full Text] [Related]
7. 3D surface voxel tracing corrector for accurate bone segmentation.
Guo H; Song S; Wang J; Guo M; Cheng Y; Wang Y; Tamura S
Int J Comput Assist Radiol Surg; 2018 Oct; 13(10):1549-1563. PubMed ID: 29916062
[TBL] [Abstract][Full Text] [Related]
8. A variational approach to liver segmentation using statistics from multiple sources.
Zheng S; Fang B; Li L; Gao M; Wang Y
Phys Med Biol; 2018 Jan; 63(2):025024. PubMed ID: 29265012
[TBL] [Abstract][Full Text] [Related]
9. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
Kar S; Majumder DD
Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
[TBL] [Abstract][Full Text] [Related]
10. Investigating the generalisation of an atlas-based synthetic-CT algorithm to another centre and MR scanner for prostate MR-only radiotherapy.
Wyatt JJ; Dowling JA; Kelly CG; McKenna J; Johnstone E; Speight R; Henry A; Greer PB; McCallum HM
Phys Med Biol; 2017 Nov; 62(24):N548-N560. PubMed ID: 29076457
[TBL] [Abstract][Full Text] [Related]
11. Blood vessel-based liver segmentation using the portal phase of an abdominal CT dataset.
Maklad AS; Matsuhiro M; Suzuki H; Kawata Y; Niki N; Satake M; Moriyama N; Utsunomiya T; Shimada M
Med Phys; 2013 Nov; 40(11):113501. PubMed ID: 24320472
[TBL] [Abstract][Full Text] [Related]
12. A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions.
Wang K; Ma C
Biomed Eng Online; 2016 Apr; 15():39. PubMed ID: 27074891
[TBL] [Abstract][Full Text] [Related]
13. Boundary detection in medical images using edge following algorithm based on intensity gradient and texture gradient features.
Somkantha K; Theera-Umpon N; Auephanwiriyakul S
IEEE Trans Biomed Eng; 2011 Mar; 58(3):567-73. PubMed ID: 21062676
[TBL] [Abstract][Full Text] [Related]
14. A novel content-based active contour model for brain tumor segmentation.
Sachdeva J; Kumar V; Gupta I; Khandelwal N; Ahuja CK
Magn Reson Imaging; 2012 Jun; 30(5):694-715. PubMed ID: 22459443
[TBL] [Abstract][Full Text] [Related]
15. A Unified Level Set Framework Combining Hybrid Algorithms for Liver and Liver Tumor Segmentation in CT Images.
Zheng Z; Zhang X; Xu H; Liang W; Zheng S; Shi Y
Biomed Res Int; 2018; 2018():3815346. PubMed ID: 30159326
[TBL] [Abstract][Full Text] [Related]
16. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.
Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D;
Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724
[TBL] [Abstract][Full Text] [Related]
17. Inter-slice bidirectional registration-based segmentation of the prostate gland in MR and CT image sequences.
Khalvati F; Salmanpour A; Rahnamayan S; Rodrigues G; Tizhoosh HR
Med Phys; 2013 Dec; 40(12):123503. PubMed ID: 24320543
[TBL] [Abstract][Full Text] [Related]
18. Liver tumor segmentation in CT volumes using an adversarial densely connected network.
Chen L; Song H; Wang C; Cui Y; Yang J; Hu X; Zhang L
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):587. PubMed ID: 31787071
[TBL] [Abstract][Full Text] [Related]
19. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
Qazi AA; Pekar V; Kim J; Xie J; Breen SL; Jaffray DA
Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
[TBL] [Abstract][Full Text] [Related]
20. Fast and robust brain tumor segmentation using level set method with multiple image information.
Lok KH; Shi L; Zhu X; Wang D
J Xray Sci Technol; 2017; 25(2):301-312. PubMed ID: 28269819
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
