84 related articles for article (PubMed ID: 8173882)
1. Technical note: evaluation of a region growing algorithm for segmenting pelvic computed tomography images during radiotherapy planning.
Neal AJ; Sivewright G; Bentley R
Br J Radiol; 1994 Apr; 67(796):392-5. PubMed ID: 8173882
[TBL] [Abstract][Full Text] [Related]
2. Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies.
Haas B; Coradi T; Scholz M; Kunz P; Huber M; Oppitz U; André L; Lengkeek V; Huyskens D; van Esch A; Reddick R
Phys Med Biol; 2008 Mar; 53(6):1751-71. PubMed ID: 18367801
[TBL] [Abstract][Full Text] [Related]
3. Image segmentation in treatment planning for prostate cancer using the region growing technique.
Mazonakis M; Damilakis J; Varveris H; Prassopoulos P; Gourtsoyiannis N
Br J Radiol; 2001 Mar; 74(879):243-8. PubMed ID: 11338100
[TBL] [Abstract][Full Text] [Related]
4. Changes in the pelvic anatomy after an IMRT treatment fraction of prostate cancer.
de Crevoisier R; Melancon AD; Kuban DA; Lee AK; Cheung RM; Tucker SL; Kudchadker RJ; Newhauser WD; Zhang L; Mohan R; Dong L
Int J Radiat Oncol Biol Phys; 2007 Aug; 68(5):1529-36. PubMed ID: 17544595
[TBL] [Abstract][Full Text] [Related]
5. Fully automated organ segmentation in male pelvic CT images.
Balagopal A; Kazemifar S; Nguyen D; Lin MH; Hannan R; Owrangi A; Jiang S
Phys Med Biol; 2018 Dec; 63(24):245015. PubMed ID: 30523973
[TBL] [Abstract][Full Text] [Related]
6. Clinical validation of atlas-based auto-segmentation of pelvic volumes and normal tissue in rectal tumors using auto-segmentation computed system.
Gambacorta MA; Valentini C; Dinapoli N; Boldrini L; Caria N; Barba MC; Mattiucci GC; Pasini D; Minsky B; Valentini V
Acta Oncol; 2013 Nov; 52(8):1676-81. PubMed ID: 23336255
[TBL] [Abstract][Full Text] [Related]
7. T1/T2*-weighted MRI provides clinically relevant pseudo-CT density data for the pelvic bones in MRI-only based radiotherapy treatment planning.
Kapanen M; Tenhunen M
Acta Oncol; 2013 Apr; 52(3):612-8. PubMed ID: 22712634
[TBL] [Abstract][Full Text] [Related]
8. Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.
Gao Y; Shao Y; Lian J; Wang AZ; Chen RC; Shen D
IEEE Trans Med Imaging; 2016 Jun; 35(6):1532-43. PubMed ID: 26800531
[TBL] [Abstract][Full Text] [Related]
9. Automatic segmentation of pelvic structures from magnetic resonance images for prostate cancer radiotherapy.
Pasquier D; Lacornerie T; Vermandel M; Rousseau J; Lartigau E; Betrouni N
Int J Radiat Oncol Biol Phys; 2007 Jun; 68(2):592-600. PubMed ID: 17498571
[TBL] [Abstract][Full Text] [Related]
10. Evaluation and optimization of the parameters used in multiple-atlas-based segmentation of prostate cancers in radiation therapy.
Wong WK; Leung LH; Kwong DL
Br J Radiol; 2016; 89(1057):20140732. PubMed ID: 26539630
[TBL] [Abstract][Full Text] [Related]
11. A qualitative and a quantitative analysis of an auto-segmentation module for prostate cancer.
Huyskens DP; Maingon P; Vanuytsel L; Remouchamps V; Roques T; Dubray B; Haas B; Kunz P; Coradi T; Bühlman R; Reddick R; Esch AV; Salamon E
Radiother Oncol; 2009 Mar; 90(3):337-45. PubMed ID: 18812252
[TBL] [Abstract][Full Text] [Related]
12. Segmenting the prostate and rectum in CT imagery using anatomical constraints.
Chen S; Lovelock DM; Radke RJ
Med Image Anal; 2011 Feb; 15(1):1-11. PubMed ID: 20634121
[TBL] [Abstract][Full Text] [Related]
13. Automatic multiorgan segmentation in CT images of the male pelvis using region-specific hierarchical appearance cluster models.
Li D; Zang P; Chai X; Cui Y; Li R; Xing L
Med Phys; 2016 Oct; 43(10):5426. PubMed ID: 27782723
[TBL] [Abstract][Full Text] [Related]
14. Automatic segmentation of male pelvic anatomy on computed tomography images: a comparison with multiple observers in the context of a multicentre clinical trial.
Geraghty JP; Grogan G; Ebert MA
Radiat Oncol; 2013 Apr; 8():106. PubMed ID: 23631832
[TBL] [Abstract][Full Text] [Related]
15. The segmentation of bones in pelvic CT images based on extraction of key frames.
Yu H; Wang H; Shi Y; Xu K; Yu X; Cao Y
BMC Med Imaging; 2018 May; 18(1):18. PubMed ID: 29788923
[TBL] [Abstract][Full Text] [Related]
16. Advantage of three-dimensional treatment planning for localized radiotherapy of early stage prostatic cancer.
Wiegel T; Schmidt R; Krüll A; Schwarz R; Sommer K; Hübener KH
Strahlenther Onkol; 1992 Dec; 168(12):692-7. PubMed ID: 1481118
[TBL] [Abstract][Full Text] [Related]
17. A semiautomatic segmentation method framework for pelvic bone tumors based on CT-MR multimodal images.
Ge Q; Xia T; Qiu Y; Liu J; Shang G; Liu B
Int J Numer Method Biomed Eng; 2023 Oct; 39(10):e3697. PubMed ID: 36999653
[TBL] [Abstract][Full Text] [Related]
18. Segmentation of pelvic structures for planning CT using a geometrical shape model tuned by a multi-scale edge detector.
Martínez F; Romero E; Dréan G; Simon A; Haigron P; de Crevoisier R; Acosta O
Phys Med Biol; 2014 Mar; 59(6):1471-84. PubMed ID: 24594798
[TBL] [Abstract][Full Text] [Related]
19. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
He K; Cao X; Shi Y; Nie D; Gao Y; Shen D
IEEE Trans Med Imaging; 2019 Feb; 38(2):585-595. PubMed ID: 30176583
[TBL] [Abstract][Full Text] [Related]
20. Per-organ assessment of subject-induced susceptibility distortion for MR-only male pelvis treatment planning.
Glide-Hurst C; Nejad-Davarani S; Weiss S; Zheng W; Chetty IJ; Renisch S
Radiat Oncol; 2018 Aug; 13(1):149. PubMed ID: 30111376
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]