Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation-Reference-Cited by-同舟云学术

Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation

Published:2010-01-25 Issue:2 Volume:37 Page:771-783
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Linguraru Marius George,Sandberg Jesse K.,Li Zhixi,Shah Furhawn,Summers Ronald M.

Funder

National Institutes of Health, Clinical Center

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1118/1.3284530/fullpdf

Reference84 articles.

1. The role of computed tomography in the initial staging and subsequent management of the lymphomas;Ellert;J. Comput. Assist. Tomogr.,1980

2. Prediction of the safe limits of hepatectomy by combined volumetric and functional measurements in patients with impaired hepatic function;Okamoto;Surgery (St. Louis),1984

3. Prognostic indicators in compensated cirrhosis;Zoli;Am. J. Gastroenterol.,1991

4. Hepatic metastases from colorectal cancer: Influence of hepatic volumetric analysis on surgical decision making;Soyer;Radiology,1992

5. Prognostic value of hepatic volumetry in fulminant hepatic failure;Sekiyama;Dig. Dis. Sci.,1994

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