A deep learning approach to gold nanoparticle quantification in computed tomography.
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| Title: | A deep learning approach to gold nanoparticle quantification in computed tomography. |
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| Authors: | Oumano M; Medical Physics Program, Department of Physics and Applied Physics, University of Massachusetts Lowell, Lowell, MA 01854, United States; Landauer Medical Physics, 2 Science Road, Glenwood, IL 60425, United States; Department of Medical Physics and Radiation Safety, Rhode Island Hospital, Providence, RI 02903, United States. Electronic address: moumano@landauermp.com., Yu H; Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, United States. |
| Source: | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2021 Jul; Vol. 87, pp. 83-89. Date of Electronic Publication: 2021 Jun 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Istituti Editoriali e Poligrafici Internazionali Country of Publication: Italy NLM ID: 9302888 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-191X (Electronic) Linking ISSN: 11201797 NLM ISO Abbreviation: Phys Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1724-191X |
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| DOI: | 10.1016/j.ejmp.2021.05.036 |
