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Towards CNN Representations for Small Mass Spectrometry Data Classification: From Transfer Learning to Cumulative Learning

2020-03-25

Abstract excerpt

Rapid and accurate clinical diagnosis of pathological conditions remains highly challenging. A very important component of diagnosis tool development is the design of effective classification models with Mass spectrometry (MS) data. Some popular Machine Learning (ML) approaches have been investigated for this purpose but these ML models require time-consuming preprocessing steps such as baseline correction, denois...

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Literature Corpus work
aeb5b177-f754-5427-b6dd-711f0587e4ba
DOI
10.1101/2020.03.24.005975
Open publication

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Towards CNN Representations for Small Mass Spectrometry Data Classification: From Transfer Learning to Cumulative LearningDOI 10.1101/2020.03.24.005975
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