Improved Diagnostic Imaging of Brain Tumors by Multimodal Microscopy and Deep Learning.

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Bibliographic Details
Title: Improved Diagnostic Imaging of Brain Tumors by Multimodal Microscopy and Deep Learning.
Authors: Gesperger J; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria.; Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria., Lichtenegger A; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Roetzer T; Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria., Salas M; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Eugui P; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Harper DJ; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Merkle CW; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Augustin M; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Kiesel B; Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria., Mercea PA; Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria., Widhalm G; Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria., Baumann B; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria., Woehrer A; Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria.
Source: Cancers [Cancers (Basel)] 2020 Jul 06; Vol. 12 (7). Date of Electronic Publication: 2020 Jul 06.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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