Comput. Biol. Med. - A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography.

Tópicos

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Resumo

This study presents a straightforward approach to computer-aided polyp detection and explores its advantages and future potential. A straightforward computer-aided polyp detection (CAD) scheme was developed that consisted of colon wall segmentation, a polyp-specific volumetric filter, and the counting and thresholding of cluster volume sizes. 65 patients had undergone the bowel cleaning scheme without fecal tagging and the optical colonoscopy (OC) and CT colonography (CTC) were performed. The polyp sizes determined by OC were used as reference measurements. The CTC dataset with 103 polyps were divided into training and test datasets. After tuning for the optimal parameter settings, the per-polyp sensitivities of the developed CAD scheme for clinically relevant polyps (= 6 mm) were 100% at 8.5 false positives (FPs)/patient using the training dataset, and 93.3% at 7.7 FPs/patient using the test dataset. The developed CAD scheme was found to have a relatively high detection performance, easily optimized parameter settings, and an easily understood internal operation.

Resumo Limpo

studi present straightforward approach computeraid polyp detect explor advantag futur potenti straightforward computeraid polyp detect cad scheme develop consist colon wall segment polypspecif volumetr filter count threshold cluster volum size patient undergon bowel clean scheme without fecal tag optic colonoscopi oc ct colonographi ctc perform polyp size determin oc use refer measur ctc dataset polyp divid train test dataset tune optim paramet set perpolyp sensit develop cad scheme clinic relev polyp mm fals posit fpspatient use train dataset fpspatient use test dataset develop cad scheme found relat high detect perform easili optim paramet set easili understood intern oper

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