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Malignant Pleural Mesothelioma Segmentation From Thoracic CT Scans

W. Brahim, M. Mestiri, N. Betrouni, K. Hamrouni
Published 2017 · Computer Science

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In this paper, a texture-based segmentation method of the Malignant Pleural Mesothelioma from thoracic CT scans is presented. For the texture analysis part, we have used an automatic sampling and a manual sampling to extract statistical features from the MPM texture. For the segmentation stage, the method iterates the whole CT volume and selects pixels satisfying the extracted statistical criteria. The assessment of the proposed method showed an acceptable degree of similarity rate (J=0.73) between the ground truth and the generated MPM volume.
This paper references
10.1093/JNCI/91.6.523
Measuring response in solid tumors: unidimensional versus bidimensional measurement.
K. James (1999)
Label object representation and manipulation with itk
G. tan Lehmann (2008)
10.1016/j.lungcan.2015.05.021
Research priorities in mesothelioma: A James Lind Alliance Priority Setting Partnership.
R. Stephens (2015)
10.1007/978-3-642-10862-4
[Malignant mesothelioma].
J. Espinosa Arranz (1994)
[New response evaluation criteria in solid tumours-revised RECIST guideline (version 1.1)].
H. Watanabe (2009)
10.1016/J.LUNGCAN.2005.12.013
Modeling of mesothelioma growth demonstrates weaknesses of current response criteria.
G. Oxnard (2006)
10.1007/BF01143137
The DICOM standard
C. Parisot (2005)
10.1109/TIP.2008.919369
A Run-Based Two-Scan Labeling Algorithm
Lifeng He (2008)
10.1118/1.3525836
Computerized segmentation and measurement of malignant pleural mesothelioma.
W. Sensakovic (2011)
10.1145/128749.128750
A general approach to connected-component labeling for arbitrary image representations
M. Dillencourt (1992)
10.1093/ANNONC/MDH059
Modified RECIST criteria for assessment of response in malignant pleural mesothelioma.
M. Byrne (2004)
10.1097/JTO.0b013e3181dd0ef1
Assessment of Therapy Responses and Prediction of Survival in Malignant Pleural Mesothelioma Through Computer-Aided Volumetric Measurement on Computed Tomography Scans
F. Liu (2010)
10.1183/09031936.00146110
Volumetry: an alternative to assess therapy response for malignant pleural mesothelioma?
T. Frauenfelder (2011)
10.1142/9789814343138_0010
Texture Analysis
Mihran Tüceryan (1993)
10.1109/34.3918
Efficient Component Labeling of Images of Arbitrary Dimension Represented by Linear Bintrees
H. Samet (1988)



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