PRLE - OCT Software



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Department of Computer Science 5 Our Team Stromer, Daniel Contact Curriculum Vitae Projects Publications Lectures Theses Bamboo Scroll Dataset LME-Book-CT dataset PRLE - OCT Software Photovoltaics Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact +49 9131 85 25246 +49 9131 85 27270 09.153 Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstr. 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Stromer, Daniel » PRLE - OCT Software Dr.-Ing. Daniel Stromer Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg PRLEC software Link to publication: (coming soon). The source code will be published together with the acceptance of the article in GITHUB. To run the executable, download the zip, extract, and run "PRLEC_OCT_Processing.exe". Download executable file (207Mb): Load. Documentation (1Mb): Load.

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