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Found 3 papers, 1 papers with code
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images
Many efforts have been made to discover tumor-specific microenvironment elements (TMEs) from immunostained tissue sections.
Classification of Histology Sections via Multispectral Convolutional Sparse Coding
Image-based classification of histology sections plays an important role in predicting clinical outcomes.
Classification of Tumor Histology via Morphometric Context
Image-based classification of tissue histology, in terms of different components (e. g., normal signature, categories of aberrant signatures), provides a series of indices for tumor composition.
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