Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images.
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| Title: | Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images. |
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| Authors: | Chan HP; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Helvie MA; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Gao M; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Hadjiiski L; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Zhou C; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Garver K; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Klein KA; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., McLaughlin C; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Oudsema R; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Rahman WT; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA., Roubidoux MA; Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA. |
| Source: | Medical physics [Med Phys] 2023 Oct; Vol. 50 (10), pp. 6177-6189. Date of Electronic Publication: 2023 May 05. |
| 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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| ISSN: | 2473-4209 |
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| DOI: | 10.1002/mp.16439 |
