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Items: 1 to 20 of 82

1.

Object information based interactive segmentation for fatty tissue extraction.

Zhou ZG, Liu F, Jiao LC, Li LL, Wang XD, Gou SP, Wang S.

Comput Biol Med. 2013 Oct;43(10):1462-70. doi: 10.1016/j.compbiomed.2013.07.023. Epub 2013 Aug 2.

PMID:
24034738
2.

Kidney segmentation in CT sequences using graph cuts based active contours model and contextual continuity.

Zhang P, Liang Y, Chang S, Fan H.

Med Phys. 2013 Aug;40(8):081905. doi: 10.1118/1.4812428.

PMID:
23927319
3.

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 21;53(6):1751-71. doi: 10.1088/0031-9155/53/6/017. Epub 2008 Mar 7.

PMID:
18367801
4.

Automated extraction of lymph nodes from 3-D abdominal CT images using 3-D minimum directional difference filter.

Kitasaka T, Tsujimura Y, Nakamura Y, Mori K, Suenaga Y, Ito M, Nawano S.

Med Image Comput Comput Assist Interv. 2007;10(Pt 2):336-43.

PMID:
18044586
5.

SHERPA: an image segmentation and outline feature extraction tool for diatoms and other objects.

Kloster M, Kauer G, Beszteri B.

BMC Bioinformatics. 2014 Jun 25;15:218. doi: 10.1186/1471-2105-15-218.

6.

Automated temporal tracking and segmentation of lymphoma on serial CT examinations.

Xu J, Greenspan H, Napel S, Rubin DL.

Med Phys. 2011 Nov;38(11):5879-86. doi: 10.1118/1.3643027.

7.

Using the K-nearest neighbor algorithm for the classification of lymph node metastasis in gastric cancer.

Li C, Zhang S, Zhang H, Pang L, Lam K, Hui C, Zhang S.

Comput Math Methods Med. 2012;2012:876545. doi: 10.1155/2012/876545. Epub 2012 Oct 24.

8.

Computer-aided lymph node segmentation in volumetric CT data.

Beichel RR, Wang Y.

Med Phys. 2012 Sep;39(9):5419-28. doi: 10.1118/1.4742845.

9.

Region segmentation using information divergence measures.

Hibbard LS.

Med Image Anal. 2004 Sep;8(3):233-44.

PMID:
15450218
10.

Automated and interactive lesion detection and segmentation in uterine cervix images.

Alush A, Greenspan H, Goldberger J.

IEEE Trans Med Imaging. 2010 Feb;29(2):488-501. doi: 10.1109/TMI.2009.2037201.

PMID:
20129849
11.

Helical CT imaging of gastric cancer: normal wall appearance and the potential for staging.

Kadowaki K, Murakami T, Yoshioka H, Kim T, Takahashi S, Tomoda K, Narumi Y, Nakamura H.

Radiat Med. 2000 Jan-Feb;18(1):47-54.

PMID:
10852655
12.

Square-cut: a segmentation algorithm on the basis of a rectangle shape.

Egger J, Kapur T, Dukatz T, Kolodziej M, Zukić D, Freisleben B, Nimsky C.

PLoS One. 2012;7(2):e31064. doi: 10.1371/journal.pone.0031064. Epub 2012 Feb 21.

13.

Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.

Feulner J, Zhou SK, Hammon M, Hornegger J, Comaniciu D.

Med Image Anal. 2013 Feb;17(2):254-70. doi: 10.1016/j.media.2012.11.001. Epub 2012 Nov 21.

PMID:
23246185
14.

Lymph node segmentation from CT images using fast marching method.

Yan J, Zhuang TG, Zhao B, Schwartz LH.

Comput Med Imaging Graph. 2004 Jan-Mar;28(1-2):33-8.

PMID:
15127747
15.

Tumor segmentation from computed tomography image data using a probabilistic pixel selection approach.

Foo JL, Miyano G, Lobe T, Winer E.

Comput Biol Med. 2011 Jan;41(1):56-65. doi: 10.1016/j.compbiomed.2010.11.006. Epub 2010 Dec 10.

PMID:
21146165
16.

Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.

Fortunati V, Verhaart RF, van der Lijn F, Niessen WJ, Veenland JF, Paulides MM, van Walsum T.

Med Phys. 2013 Jul;40(7):071905. doi: 10.1118/1.4810971.

PMID:
23822442
17.

Interactive vs. automatic ultrasound image segmentation methods for staging hepatic lipidosis.

Weijers G, Starke A, Haudum A, Thijssen JM, Rehage J, De Korte CL.

Ultrason Imaging. 2010 Jul;32(3):143-53.

PMID:
20718244
18.

Automatic lumen segmentation in IVOCT images using binary morphological reconstruction.

Moraes MC, Cardenas DA, Furuie SS.

Biomed Eng Online. 2013 Aug 9;12:78. doi: 10.1186/1475-925X-12-78.

19.

Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study.

Zhang XP, Wang ZL, Tang L, Sun YS, Cao K, Gao Y.

BMC Cancer. 2011 Jan 11;11:10. doi: 10.1186/1471-2407-11-10.

20.

Three-dimensional visualization and analysis methodologies: a current perspective.

Udupa JK.

Radiographics. 1999 May-Jun;19(3):783-806. Review.

PMID:
10336203
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