Direct comparison of multiple computer-aided polyp detection systems.

ABSTRACT:

Background and study aims

 Artificial intelligence (AI)-based systems for computer-aided detection (CADe) of polyps receive regular updates and occasionally offer customizable detection thresholds, both of which impact their performance, but little is known about these effects. This study aimed to compare the performance of different CADe systems on the same benchmark dataset.

Methods

 101 colonoscopy videos were used as benchmark. Each video frame with a visible polyp was manually annotated with bounding boxes, resulting in 129 705 polyp images. The videos were then analyzed by three different CADe systems, representing five conditions: two versions of GI Genius, Endo-AID with detection Types A and B, and EndoMind, a freely available system. Evaluation included an analysis

SUBMITTER: Troya J 

PROVIDER: S-EPMC10736101 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature