October 13, 2017 conference-paper Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis SPE Russian Petroleum Technology Conference DOI: 10.2118/187885-ms OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 30 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets 2021 preprint Computer Science Advanced Neural Network Applications Open access 2 citations 1 result References 0