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COMPARING NUMBER AND RELEVANCE OF FALSE ACTIVATIONS BETWEEN TWO ARTIFICIAL INTELLIGENCE CADE SYSTEMS: THE NOISE STUDY
1
Zitationen
16
Autoren
2022
Jahr
Abstract
Aims Artificial Intelligence(AI)has been shown to be effective in polyp detection, and multiple computer-aided detection(CADe)system have been developed. False positive(FP)activation emerged as a possible way to benchmark CADe performances in clinical practice. The aim of this study is to validate a previously developed classification of FP comparing the performances of different brands of approved CADe systems.
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