massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation

Abstract
Motivation: Mass spectrometry imaging (MSI) provides rich biochemical information in a label-free manner and therefore holds promise to substantially impact current practice in disease diagnosis. However, the complex nature of MSI data poses computational challenges in its analysis. The complexity of the data arises from its large size, high dimensionality, and spectral non-linearity. Preprocessing, including peak picking, has been used to...
Paper Details
Title
massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation
Published Date
May 7, 2021
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