Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.

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Bibliographic Details
Title: Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.
Authors: Xu Z; Electrical Engineering, Vanderbilt University EECS, 2301 Vanderbilt Pl., PO Box 351679 Station B, Nashville, TN 37235-1679. Electronic address: zhoubing.xu@vanderbilt.edu., Gertz AL; Neuroscience, Vanderbilt University, Nashville, Tennessee., Burke RP; Biomedical Engineering, Vanderbilt University, Nashville, Tennessee., Bansal N; Diagnostic Radiology, NYU Langone Medical Center, New York, New York., Kang H; Biostatistics, Vanderbilt University, Nashville, Tennessee., Landman BA; Electrical Engineering, Vanderbilt University EECS, 2301 Vanderbilt Pl., PO Box 351679 Station B, Nashville, TN 37235-1679; Biomedical Engineering, Vanderbilt University, Nashville, Tennessee; Radiology and Radiological Science, Vanderbilt University, Nashville, Tennessee., Abramson RG; Radiology and Radiological Science, Vanderbilt University, Nashville, Tennessee.
Source: Academic radiology [Acad Radiol] 2016 Oct; Vol. 23 (10), pp. 1214-20. Date of Electronic Publication: 2016 Aug 09.
Publication Type: Journal Article
Journal Info: Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4046 (Electronic) Linking ISSN: 10766332 NLM ISO Abbreviation: Acad Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-4046
DOI:10.1016/j.acra.2016.05.015