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Breast Cancer Subtype Classification Using a One-Dimensional Convolutional Neural Network in Hyperspectral Images

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Abstract

FTIR spectroscopy imaging in addition to deep learning is a potential tool for breast cancer subtype classification, where accuracies higher than 86% can be achieved to predict among all subtypes.

© 2022 The Author(s)

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