Journal Article
Under ReviewQ2DermFusionNet: A CBAM-Enhanced Deep Ensemble Model with Feature Fusion for Robust and Interpretable Skin Lesion Classification
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Journal / Venue
Healthcare Technology Letters
Paper Link
Not AvailableJournal Metrics
Metrics Updated: April 2026IET / Wiley
Cite Score
5.8
Impact Factor
3.3
Quartile
Q2
Keywords
Skin CancerDermFusionNetDeep Ensemble LearningCBAMGrad-CAM++CLAHEExplainable AIHAM10000ISIC2019
Authors
Faysal Ahmmed
faysalahmmed4200@gmail.comAjmy Alaly
alalyajmy@gmail.comSamanta Mehnaj
samantamehnaj2001@gmail.comAsef Rahman Antik
asefrahman2001@gmail.comM. F. Mridha
firoz.mridha@aiub.eduOverview
Proposed DermFusionNet, an attention-guided ensemble model combining multiple pretrained backbones with CBAM, achieving highly accurate and interpretable skin lesion classification.
Abstract
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