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Radiomic feature selection via deep neural network gradient loss for lung cancer detection

Arxiv CS.CV (computer vision)

Proposes a radiomic feature selection method using gradient loss from a deep neural network to classify lung cancer stages. Addresses high-dimensional, low-sample radiomics datasets. Evaluated on lung cancer imaging data.

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7 days ago
Radiomic feature selection via deep neural network gradient loss for lung cancer detection — AIBriefs