Nature

Enhancing feature learning of hyperspectral imaging using shallow autoencoder by adding parallel paths encoding

Hyperspectral Imaging (HSI) is widely used in remote sensing and medical images. These are the images that measure continuous spectral bands. They contain dozens to hundreds of spectral bands. A ...
Nature

Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification

Hyperspectral imaging generates vast amounts of data containing spatial and spectral information. Dimensionality reduction methods can reduce data size while preserving essential spectral features and ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...