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Found 4 papers, 1 papers with code
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform
Texture descriptors have been quite popular in medical image analysis, particularly in histopathologic images (HI), due to the variability of both the texture found in such images and the tissue appearance due to irregularity in the staining process.
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures
Texture can be defined as the change of image intensity that forms repetitive patterns, resulting from physical properties of the object's roughness or differences in a reflection on the surface.
Machine Learning Methods for Histopathological Image Analysis: A Review
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis.
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending
Such a problem is troublesome because most of the ML algorithms attempt to optimize a loss function that does not take into account the data imbalance.
