IonMorphNet is a ConvNeXt-based classifier trained on six spatial pattern classes from 53 MSI datasets that performs generalizable peak picking and improves mSCF1 by 7% over prior methods while also aiding tumor classification via ion selection.
Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958, 2014
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IonMorphNet: Generalizable Learning of Ion Image Morphologies for Peak Picking in Mass Spectrometry Imaging
IonMorphNet is a ConvNeXt-based classifier trained on six spatial pattern classes from 53 MSI datasets that performs generalizable peak picking and improves mSCF1 by 7% over prior methods while also aiding tumor classification via ion selection.