Cathartic bowel preparation is a major barrier in implementing clinically feasible colorectal screening programs. We developed a fully automated computer-aided detection (CAD) scheme for non-cathartic computed tomographic colonography (CTC). In a pilot evaluation with an independent testing set of 46 clinical non-cathartic CTC cases, the CAD scheme detected 100% of large ≥10 mm lesions with 3.7 false-positive (FP) detections per patient and 90% of ≥6 mm lesions with 5.0 FP detections per patient, on average. The results indicate that CAD can detect colorectal lesions with high accuracy in non-cathartic CTC. © 2012 Springer-Verlag.
CITATION STYLE
Näppi, J. J., Gryspeerdt, S., Lefere, P., Zalis, M., & Yoshida, H. (2012). Automated detection of colorectal lesions in non-cathartic CT colonography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7029 LNCS, pp. 68–75). https://doi.org/10.1007/978-3-642-28557-8_9
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