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Computerized segmentation and measurement of malignant pleural mesothelioma
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View: Figures


Image of FIG. 1.
FIG. 1.

Unilateral MPM presenting in the left hemithorax (black arrows).

Image of FIG. 2.
FIG. 2.

Example of modified response evaluation criteria in solid tumors (RECIST) measurements (dark gray lines) for MPM.

Image of FIG. 3.
FIG. 3.

Example of lung segmentation. Note that tumor is excluded from the lung segmentation in the right hemithorax.

Image of FIG. 4.
FIG. 4.

Example of liver segmentation.

Image of FIG. 5.
FIG. 5.

Left: Axial CT section with MPM in the right hemithorax. Right: Nonlinear diffusion smoothed CT section.

Image of FIG. 6.
FIG. 6.

CT scan of a patient with mesothelioma. Left: Lung parenchyma segmentation (dark gray) and mesothelioma segmentation (transparent white) are superimposed. Note that a portion of mesothelioma was incorrectly excluded from the segmentation (black arrow). Right top: Axial cross-section of mesothelioma segmentation. Each gray level represents a different class created by the k-means classifier. Right middle: Axial cross-section of original CT scan. Right bottom: Axial CT cross-section with observer segmentations superimposed: Observer A (white), observer B (black), and observer C (dark gray).

Image of FIG. 7.
FIG. 7.

Bland–Altman plots of mesothelioma area. Top: Comparison of computer-defined area and average area over all observers. Bottom: Comparison of manual area for observers with the highest average J (observers A and C). The gray dashed line indicates the 95% limits of agreement.


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Computerized segmentation and measurement of malignant pleural mesothelioma