Generalization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment
In this paper, we present two new numerical observers (NO) based on machine learning for image quality assessment. The proposed NOs aim to predict human observer performance in a cardiac perfusion-defect detection task for single-photon emission computed tomography (SPECT) images. Human observer (Hu...
Veröffentlicht in: | IEEE transactions on nuclear science. - 1988. - 60(2013), 3 vom: 01. Juni, Seite 1609-1618 |
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Format: | Aufsatz |
Sprache: | English |
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2013
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Zugriff auf das übergeordnete Werk: | IEEE transactions on nuclear science |
Schlagworte: | Journal Article CHO Numerical observer RVM SPECT human observer image quality |