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

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2023

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

Matheus del-Valle, Emerson Soares Bernardes, Denise Maria Zezell

Breast cancer molecular subtypes classification plays an import role to sort patients with divergent prognosis. The biomarkers used are Estrogen Receptor (ER), Progesterone Recepto…

cs.LG2023★ 1 cited

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

Matheus del-Valle, Emerson Soares Bernardes, Denise Maria Zezell

Breast cancer treatment still remains a challenge, where molecular subtypes classification plays a crucial role in selecting appropriate and specific therapy. The four subtypes are…