Search Results for author: Francisco Perdigón Romero

Found 2 papers, 0 papers with code

A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction

no code implementations28 May 2020 William Le, Francisco Perdigón Romero, Samuel Kadoury

In medical imaging, radiological scans of different modalities serve to enhance different sets of features for clinical diagnosis and treatment planning.

Survival Prediction

A Fully Convolutional Normalization Approach of Head and Neck Cancer Outcome Prediction

no code implementations MIDL 2019 William Le, Francisco Perdigón Romero, Samuel Kadoury

Medical image classification performance worsens in multi-domain datasets, caused by radiological image differences across institutions, scanner manufacturer, model and operator.

Image Classification Medical Image Classification +1

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