An automatic brain tumor segmentation tool

This paper introduces an automatic brain tumor segmentation method (ABTS) for segmenting multiple components of brain tumor using four magnetic resonance image modalities. ABTS's four stages involve automatic histogram multi-thresholding and morphological operations including geodesic dilation....

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Bibliographic Details
Main Authors: Diaz, Idanis, Boulanger, Pierre, Greiner, Russell, Hoehn, Bret, Rowe, Lindsay, Murtha, Albert
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Biomedical imaging
Histograms
Image segmentation
Magnetic resonance imaging
Manuals
Tumors
Online Access:Request full text
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Summary:This paper introduces an automatic brain tumor segmentation method (ABTS) for segmenting multiple components of brain tumor using four magnetic resonance image modalities. ABTS's four stages involve automatic histogram multi-thresholding and morphological operations including geodesic dilation. Our empirical results, on 16 real tumors, show that ABTS works very effectively, achieving a Dice accuracy compared to expert segmentation of 81% in segmenting edema and 85% in segmenting gross tumor volume (GTV).
ISSN:1094-687X
1558-4615
2694-0604
DOI:10.1109/EMBC.2013.6610256