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Development and evaluation of an automatic tumor segmentation tool: a comparison between automatic, semi-automatic
Majeed Rana1, Daniel Modrow2, Jens Keuchel2
1Department of Craniomaxillofacial Surgery, Hannover Medical School, Hannover, Germany.
Introduction:
In the treatment of cancer in the head and neck region, computer-assisted surgery can be used to estimate location and extent by segmentation of the tumor. This article presents a new tool (Smartbrush), which allows for faster automated segmentation of the tumor.
Methods:
This new method was compared with other well-known techniques of segmentation. Thirty-eight patients with keratocystic odontogenic tumors were included in this study. The tumors were segmented using manual segmentation, threshold-based segmentation and segmentation using Smartbrush. All three methods were compared concerning usability, time expenditure and accuracy.
Results:
The results suggest that segmentation using Smartbrush is significantly faster with comparable accuracy.
Conclusions:
After a period of adjustment to the program, one can comfortably get reliable results that, compared with other methods, are not as dependent on the user's experience. Smartbrush segmentation is a reliable and fast method of segmentation in tumor surgery.
