Article

Deep representation learning for domain adaptatable classification of infrared spectral imaging data

2019-03-20

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Motivation</h4> Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which are non-linear in nature and lead to classifiers that do not generalize well, e.g. across different types of tissue preparation. Furthermo...

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Literature Corpus work: cfcc3ac7-0031-5977-89a8-ddb279381850
DOI: 10.1101/584227

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