Applications of machine learning in pathology is an active research area in modern medicine. Here, we presented a classifier for label-free renal histopathology. Three frequently encountered categories of monoclonal gammopathy-associated kidney disease were studied, which included light chain amyloidosis, monoclonal light chain disease deposition (MIDD) and myeloma cast nephropathy. Biopsies with diabetic nephropathy and normal baseline transplant biopsies were used as control. The samples are imaged using a FTIR hyperspectral microscope. More than three million infrared spectra are adopted for the training and evaluation of the computational model. The model recognizes the pixels associated with the glomerulus, and diagnoses the disease based on infrared absorption features.
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