Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples

Segmentation of scanning electron microscopy (SEM) images is critical yet time-consuming for geological analyses, as it needs to differentiate the boundaries for different mineral objects to facilitate subsequent analyses, such as porosity calculation. Recently, various machine learning methods, esp...

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Veröffentlicht in:	Computers & geosciences 2022-08, Vol.168
Hauptverfasser:	Yin, Binqian, Hu, Qinhong, Zhu, Yingying, Zhao, Chen, Zhou, Keren
Format:	Artikel
Sprache:	eng
Schlagworte:	Ensemble learning GEOSCIENCES Image segmentation Imbalanced dataset Loss function Neural network Shale
Online-Zugang:	Volltext
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