Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization
Neurocomputing(2018)
Abstract
•A grade diagnostic formulation is considered rather than a malignant versus benign tumour problem.•A new multispectral multiscale linear binary pattern feature is proposed.•Multispectral images acquired in the visible and infrared spectra are considered.•A stacked generalisation classification technique is proposed.
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Key words
Multiscale Multispectral Local Binary Pattern,Stacked generalization,Histology,Colorectal cancer,Prostate cancer,Automatic diagnosis
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