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Measuring glioma volumes: A comparison of linear measurement based formulae with the manual image segmentation technique
Author(s) -
Sanjeev Sreenivasan,
Venkatesh S Madhugiri,
Gopalakrishnan M Sasidharan,
Rajeev Kumar
Publication year - 2016
Publication title -
journal of cancer research and therapeutics/journal of cancer research and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 39
eISSN - 0973-1482
pISSN - 1998-4138
DOI - 10.4103/0973-1482.153999
Subject(s) - concordance , ellipsoid , segmentation , volume (thermodynamics) , concordance correlation coefficient , glioma , mathematics , nuclear medicine , medicine , computer science , statistics , physics , artificial intelligence , cancer research , quantum mechanics , astronomy
Gliomas are irregular in shape unlike benign brain tumors like meningiomas or schwannomas. Simplifying assumptions about glioma geometry are therefore more likely to lead to wrong calculations of glioma volumes than for other tumors.

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