Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography.

ABSTRACT:

Purpose

To assess the diagnostic performance of distributed human intelligence for the classification of polyp candidates identified with computer-aided detection (CAD) for computed tomographic (CT) colonography.

Materials and methods

This study was approved by the institutional Office of Human Subjects Research. The requirement for informed consent was waived for this HIPAA-compliant study. CT images from 24 patients, each with at least one polyp of 6 mm or larger, were analyzed by using CAD software to identify 268 polyp candidates. Twenty knowledge workers (KWs) from a crowdsourcing platform labeled each polyp candidate as a true or false polyp. Two trials involving 228 KWs were conducted to assess reproducibility. Performance was assessed by comparing the area under the

SUBMITTER: Nguyen TB 

PROVIDER: S-EPMC3285221 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature