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Machine learning aided classification of SHG microscopy images of esophageal squamous cell carcinoma progression and high-grade dysplasia

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Abstract

Computational analyses such as textural analysis play an important role for the effective study of pathological images, it enables faster analysis and allows image classifications based on many features.

© 2023 The Author(s)

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