Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging.
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| Title: | Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging. |
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| Authors: | Azimi MS; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran.; Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran., Kamali-Asl A; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran., Ay MR; Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran.; Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran., Zeraatkar N; Siemens Medical Solutions USA, Inc., Knoxville, TN, USA., Hosseini MS; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran., Sanaat A; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, Geneva, Switzerland., Dadgar H; Cancer Research Center, Razavi Hospital, Imam Reza International University, Mashhad, Iran., Arabi H; Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, Geneva, Switzerland. |
| Source: | Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2024 Mar 15; Vol. 14 (3), pp. 2146-2164. Date of Electronic Publication: 2024 Jan 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2223-4292 (Print) Linking ISSN: 22234306 NLM ISO Abbreviation: Quant Imaging Med Surg Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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