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Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.

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Title: Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.
Authors: Yu Z; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA., Rahman MA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA., Laforest R; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA., Schindler TH; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA., Gropler RJ; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA., Wahl RL; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA., Siegel BA; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA., Jha AK; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
Source: Medical physics [Med Phys] 2023 Jul; Vol. 50 (7), pp. 4122-4137. Date of Electronic Publication: 2023 Apr 20.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.
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  Data: <searchLink fieldCode="AU" term="%22Yu+Z%22">Yu Z</searchLink>; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Rahman+MA%22">Rahman MA</searchLink>; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Laforest+R%22">Laforest R</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Schindler+TH%22">Schindler TH</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Gropler+RJ%22">Gropler RJ</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Wahl+RL%22">Wahl RL</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Siegel+BA%22">Siegel BA</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Jha+AK%22">Jha AK</searchLink>; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
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  Data: <searchLink fieldCode="JN" term="%220425746%22">Medical physics</searchLink> [Med Phys] 2023 Jul; Vol. 50 (7), pp. 4122-4137. <i>Date of Electronic Publication: </i>2023 Apr 20.
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              Text: 2023 Jul
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