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hyperspectral imaging

Artificial IntelligenceMachine Learning

One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images

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The study presents a novel 1D deep learning tool, CaReNet-V1, for breast cancer subtype evaluation and biochemical content evaluation using micro-FTIR hyperspectral images. The tool effectively classified cancer and adjacent…

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Artificial IntelligenceComputer Vision and Pattern Recognition

Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67

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The study focuses on using deep learning to predict breast cancer subtypes and biomarker levels. Four biomarkers – Estrogen Receptor (ER), Progesterone Receptor (PR), HER2, and Ki67 – are used…

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