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Tumor classification using imaging mass spectrometry (IMS) data has a high potential for future applications in pathology. Due to the complexity and size of the data, automated feature extraction and classification steps are required to fully process the data.
(Behrmann., 2017) Deep learning for tumor classification in imaging mass spectrometry. Bioinformatics.