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Title: Deep learning semantic segmentation of opaque and non-opaque minerals from epoxy resin in reflected light microscopy images
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dc.contributor.authorFilippo, Michel Pedro
dc.contributor.authorGomes, Otávio da Fonseca Martins
dc.contributor.authorOstwald, Gilson Alexandre
dc.contributor.authorCosta, Pedro da
dc.contributor.authorMota, Guilherme Lucio Abelha
dc.date.accessioned2021-10-27T14:07:16Z
dc.date.available2021-10-27T14:07:16Z
dc.date.issued2021
dc.identifier.issn0892-6875
dc.identifier.urihttps://doi.org/10.1016/j.mineng.2021.107007
dc.language.isoen_US
dc.publisherMinerals Engineering 170 (2021)
dc.subjectOre characterization
dc.subjectImage analysis
dc.subjectDeep learning
dc.subjectSemantic segmentation
dc.subjectIron ore
dc.titleDeep learning semantic segmentation of opaque and non-opaque minerals from epoxy resin in reflected light microscopy images
dc.typeArticle
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