MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography

MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography

Morphological characterization of microcrystalline rock textures typically relies upon the visual interpretation and manual measurement of scanning electron microscopy (SEM) imagery: a practice fraught with subjectivity, inefficiency, sampling bias, and data loss. We introduce a state-of-the-art com...

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Bibliographic Details
Main Authors: Mohammed Yaqoob, Mohammed Yusuf Ansari, Mohammed Ishaq, Issac Sujay Anand John Jayachandran, Mohammed S. Hashim, Thomas Daniel Seers
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Carbonate characterization
classification
deep learning
petrography
segmentation
SEM imaging
Online Access:https://ieeexplore.ieee.org/document/10930763/
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https://ieeexplore.ieee.org/document/10930763/

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