Abstract: This article presents a novel hyperspectral image (HSI) classification approach that integrates the sparse inducing variational Gaussian process (SIVGP) with a spatially adaptive Markov ...
Rare tumors, although individually uncommon, collectively account for a considerable proportion of cancer diagnoses and pose unique clinical and biological ...
Abstract: The effectiveness and efficiency of modeling complex spectral–spatial relations are crucial for hyperspectral image (HSI) classification. Most existing methods based on convolution neural ...
Endometrial cancer represents the most prevalent gynecologic malignancy in high-income regions, where its management conventionally hinges on ...
An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...
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