Automated detection and classification of multi-cell Phytoliths using Deep Learning-Based Algorithms

This paper presents an algorithm for automated detection and classification of multi-cell phytoliths, one of the major components of many archaeological and paleoenvironmental deposits. This identification, based on phytolith wave pattern, is made using a pretrained VGG19 deep learning model. This a...

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