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Retrospective study of deep learning to reduce noise in non-contrast head CT images.

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Bibliographic Details
Title: Retrospective study of deep learning to reduce noise in non-contrast head CT images.
Authors: Wong KK; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston Methodist Hospital, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Radiology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA. Electronic address: kwong@houstonmethodist.org., Cummock JS; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; MD/PhD Program, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1002, Bryan, TX 77807, USA., He Y; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA., Ghosh R; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; MD/PhD Program, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1002, Bryan, TX 77807, USA., Volpi JJ; Department of Neurology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA., Wong STC; Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital and Department of Radiology, Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston Methodist Hospital, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Radiology, Houston Methodist Institute for Academic Medicine, 6670 Bertner Ave, Houston, TX 77030, USA; Department of Neuroscience and Experimental Therapeutics, Texas A&M University College of Medicine, 8447 Riverside Parkway, Suite 1005, Bryan, TX 77807, USA. Electronic address: stwong@houstonmethodist.org.
Source: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2021 Dec; Vol. 94, pp. 101996. Date of Electronic Publication: 2021 Sep 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0771 (Electronic) Linking ISSN: 08956111 NLM ISO Abbreviation: Comput Med Imaging Graph Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0771
DOI:10.1016/j.compmedimag.2021.101996