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.
Advanced maldi mass spectrom- etry imaging in pharmaceutical research and drug develop- ment.Curr
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.