Journal Article
Under ReviewQ1ResSplit-KAN: A Self-Explainable Kolmogorov–Arnold Network with a Residual Split Multi-Scale Lightweight Architecture for Acute Lymphoblastic Leukemia Classification
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Journal / Venue
The American Journal of Pathology
Paper Link
Not AvailableJournal Metrics
Metrics Updated: April 2026Elsevier
Cite Score
9
Impact Factor
3.6
Quartile
Q1
Keywords
Acute Lymphoblastic LeukemiaResSplit-KANKolmogorov–Arnold NetworkExplainable AIImage SegmentationBlood MicroscopyLightweight ModelGrad-CAM++
Authors
Faysal Ahmmed
faysalahmmed4200@gmail.comResadus Salehin Rafsan
22-46708-1@student.aiub.eduM. F. Mridha
firoz.mridha@aiub.eduOverview
Proposed ResSplit-KAN, a lightweight and explainable deep learning model for ALL classification, integrating multi-scale residual learning with KAN to achieve high accuracy and interpretable results.
Abstract
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