73 related articles for article (PubMed ID: 25450222)
1. Three-dimensional semiautomatic liver segmentation method for non-contrast computed tomography based on a correlation map of locoregional histogram and probabilistic atlas.
Yamaguchi S; Satake K; Yamaji Y; Chen YW; Tanaka HT
Comput Biol Med; 2014 Dec; 55():79-85. PubMed ID: 25450222
[TBL] [Abstract][Full Text] [Related]
2. 3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy
Wu W; Wu S; Zhou Z; Zhang R; Zhang Y
Biomed Res Int; 2017; 2017():5207685. PubMed ID: 29090220
[TBL] [Abstract][Full Text] [Related]
3. Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model.
Okada T; Shimada R; Hori M; Nakamoto M; Chen YW; Nakamura H; Sato Y
Acad Radiol; 2008 Nov; 15(11):1390-403. PubMed ID: 18995190
[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. 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]
6. 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]
7. Automatic localization of solid organs on 3D CT images by a collaborative majority voting decision based on ensemble learning.
Zhou X; Wang S; Chen H; Hara T; Yokoyama R; Kanematsu M; Fujita H
Comput Med Imaging Graph; 2012 Jun; 36(4):304-13. PubMed ID: 22421130
[TBL] [Abstract][Full Text] [Related]
8. Automatic 3D liver location and segmentation via convolutional neural network and graph cut.
Lu F; Wu F; Hu P; Peng Z; Kong D
Int J Comput Assist Radiol Surg; 2017 Feb; 12(2):171-182. PubMed ID: 27604760
[TBL] [Abstract][Full Text] [Related]
9. [Liver CT image segmentation using statistical shape model based on statistical and specific information].
Li C; Zhang J; Feng Q
Nan Fang Yi Ke Da Xue Xue Bao; 2012 Jan; 32(1):23-7. PubMed ID: 22365998
[TBL] [Abstract][Full Text] [Related]
10. A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans.
Platero C; Tobar MC
Comput Math Methods Med; 2014; 2014():182909. PubMed ID: 25276219
[TBL] [Abstract][Full Text] [Related]
11. A 3-D liver segmentation method with parallel computing for selective internal radiation therapy.
Goryawala M; Guillen MR; Cabrerizo M; Barreto A; Gulec S; Barot TC; Suthar RR; Bhatt RN; Mcgoron A; Adjouadi M
IEEE Trans Inf Technol Biomed; 2012 Jan; 16(1):62-9. PubMed ID: 21990338
[TBL] [Abstract][Full Text] [Related]
12. Construction of an abdominal probabilistic atlas and its application in segmentation.
Park H; Bland PH; Meyer CR
IEEE Trans Med Imaging; 2003 Apr; 22(4):483-92. PubMed ID: 12774894
[TBL] [Abstract][Full Text] [Related]
13. 3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images.
Salman Al-Shaikhli SD; Yang MY; Rosenhahn B
Biomed Tech (Berl); 2016 Aug; 61(4):401-12. PubMed ID: 26501155
[TBL] [Abstract][Full Text] [Related]
14. Automated abdominal multi-organ segmentation with subject-specific atlas generation.
Wolz R; Chu C; Misawa K; Fujiwara M; Mori K; Rueckert D
IEEE Trans Med Imaging; 2013 Sep; 32(9):1723-30. PubMed ID: 23744670
[TBL] [Abstract][Full Text] [Related]
15. Comparison of liver volumetry on contrast-enhanced CT images: one semiautomatic and two automatic approaches.
Cai W; He B; Fan Y; Fang C; Jia F
J Appl Clin Med Phys; 2016 Nov; 17(6):118-127. PubMed ID: 27929487
[TBL] [Abstract][Full Text] [Related]
16. Automated segmentation of the incus and malleus ossicles in conventional tri-dimensional computed tomography images.
Oliveira FP; Faria DB; Tavares JM
Proc Inst Mech Eng H; 2014 Aug; 228(8):810-8. PubMed ID: 25085697
[TBL] [Abstract][Full Text] [Related]
17. Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas.
Li C; Wang X; Xia Y; Eberl S; Yin Y; Feng DD
Comput Methods Programs Biomed; 2012 Aug; 107(2):164-74. PubMed ID: 21855163
[TBL] [Abstract][Full Text] [Related]
18. On-line use of three-dimensional marker trajectory estimation from cone-beam computed tomography projections for precise setup in radiotherapy for targets with respiratory motion.
Worm ES; Høyer M; Fledelius W; Nielsen JE; Larsen LP; Poulsen PR
Int J Radiat Oncol Biol Phys; 2012 May; 83(1):e145-51. PubMed ID: 22516384
[TBL] [Abstract][Full Text] [Related]
19. Semiautomated thoracic and abdominal computed tomography segmentation using the belief functions theory: application to 3D internal dosimetry.
Dieudonné A; Zhang P; Vannoorenberghe P; Gardin I
Cancer Biother Radiopharm; 2007 Apr; 22(2):275-80. PubMed ID: 17600476
[TBL] [Abstract][Full Text] [Related]
20. Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods.
Beichel R; Bornik A; Bauer C; Sorantin E
Med Phys; 2012 Mar; 39(3):1361-73. PubMed ID: 22380370
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]