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PFSDS023

MINERALS: Machine learning training set for virtual microscopy

Grant period12 months
Funding bodyExploratory Research Space der RWTH Aachen
 ERS
IdentifierG:(DE-82)EXS-PF-PFSDS023

⇧ Exploratory Research Space: Prep Fund als Anschubfinanzierung zur Schließung strategischer Lücken ⇧

 

Recent Publications

All known publications ...
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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets
Computers & geosciences 170, 105232 () [10.1016/j.cageo.2022.105232]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;  ;
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
42 Seiten : Illustrationen, Diagramme () [10.31223/X55S65]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Master Thesis
Knowledge driven machine learning image segmentation on thin section images
Aachen () = Masterarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2020  GO BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Abstract/Contribution to a conference proceedings  ;  ;  ;  ;  ;  ;
Generating a pixel-wise annotated training dataset to train ML algorithms for mineral identification in rock thin sections
Abstracts & presentations / EGU General Assembly 2020
EGU General Assembly 2020, EGU 2020, onlineonline, 4 May 2020 - 8 May 20202020-05-042020-05-08
Göttingen : Copernicus Gesellschaft mbH EGU2020-18865, 1 Seite () [10.5194/egusphere-egu2020-18865]  GO OpenAccess  Download fulltext Files  Download fulltextHomepage of book BibTeX | EndNote: XML, Text | RIS

All known publications ...
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 Record created 2019-11-16, last modified 2023-01-24



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