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"A Hybrid Approach for Approximating the Ideal Observer for Joint Signal ..."

Kaiyan Li et al. (2022)

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DOI: 10.1109/TMI.2021.3135147

access: open

type: Journal Article

metadata version: 2023-07-27

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Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio:
A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. IEEE Trans. Medical Imaging 41(5): 1114-1124 (2022)

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