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2023
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Matheus del-Valle, Emerson Soares Bernardes, Denise Maria Zezell:
One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images. CoRR abs/2310.15094 (2023)
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Matheus del-Valle, Emerson Soares Bernardes, Denise Maria Zezell:
Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67. CoRR abs/2310.15099 (2023)
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Matheus del-Valle, Lariza Laura de Oliveira, Henrique Cursino Vieira, Henrique Min Ho Lee, Lucas Lembrança Pinheiro, Maria Fernanda Portugal, Newton Shydeo Brandão Miyoshi, Nelson Wolosker:
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans. CoRR abs/2310.15328 (2023)

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