Multi-Atlas Segmentation for Abdominal Organs with Gaussian Mixture Models.
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| Title: | Multi-Atlas Segmentation for Abdominal Organs with Gaussian Mixture Models. |
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| Authors: | Burke RP; Biomedical Engineering, Vanderbilt University, Nashville, TN, USA 37235., Xu Z; Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235., Lee CP; Computer Science, Vanderbilt University, Nashville, TN, USA 37235., Baucom RB; General Surgery, Vanderbilt University, Nashville, TN, USA 37235., Poulose BK; General Surgery, Vanderbilt University, Nashville, TN, USA 37235., Abramson RG; Radiology and Radiological Science, Vanderbilt University, Nashville, TN, USA 37235., Landman BA; Biomedical Engineering, Vanderbilt University, Nashville, TN, USA 37235 ; Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235 ; Computer Science, Vanderbilt University, Nashville, TN, USA 37235 ; Radiology and Radiological Science, Vanderbilt University, Nashville, TN, USA 37235. |
| Source: | Proceedings of SPIE--the International Society for Optical Engineering [Proc SPIE Int Soc Opt Eng] 2015 Mar 17; Vol. 9417. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SPIE, The International Society for Optical Engineering Country of Publication: United States NLM ID: 101524122 Publication Model: Print Cited Medium: Print ISSN: 0277-786X (Print) Linking ISSN: 0277786X NLM ISO Abbreviation: Proc SPIE Int Soc Opt Eng Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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