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DeepAMO: a multi-slice, multi-view anthropomorphic model observer for visual detection tasks performed on volume

Ye Li1,2, Junyu Chen1,2, Justin L Brown3

  • 1Johns Hopkins University, Whiting School of Engineering, Department of Electrical and Computer Engineering, Baltimore, Maryland, United States.

Journal of Medical Imaging (Bellingham, Wash.)
|February 1, 2021
PubMed
Summary

A novel deep learning model observer (DeepAMO) accurately mimics human performance in 3D defect detection tasks. This AI approach shows potential for evaluating medical image quality, even with limited training data.

Keywords:
deep learningmodel observertask-based image quality assessment

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