Deep learning-based method for SEM image segmentation in mineral characterization, an example from Duvernay Shale samples in Western Canada Sedimentary Basin-Reference-Cited by-同舟云学术

Deep learning-based method for SEM image segmentation in mineral characterization, an example from Duvernay Shale samples in Western Canada Sedimentary Basin

Published:2020-05 Issue: Volume:138 Page:104450
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Chen Zhuoheng,Liu Xiaojun,Yang Jijin,Little Edward,Zhou Yu

Funder

PERD

Natural Resources Canada

Chinese National Major Fundamental Research Developing Project

NRCan

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

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4. The Lov'asz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks;Berman,2018

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