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FusionNeXt-XtremeNet: A Deep Ensemble Model with LLM-Aided Clinical Report Generation for Dermoscopic Image Classification

2026-03-05

Abstract excerpt

<title>Abstract</title> <p>This paper presents FusionNeXt-XtremeNet, a novel deep ensemble architecture that combines ConvNeXt, Vision Transformer (ViT), and EfficientNetV2 for classifying dermoscopic images based on acquisition types. To improve clinical interpretability, a GPT-2-based Large Language Model (LLM) enhanced by the Language-augmented Multimodal Attention (LeMMA) mechanism is integrated to generate s...

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Literature Corpus work: 8430f492-c7ec-565a-b964-abc19d81a60e
DOI: 10.21203/rs.3.rs-7784164/v1

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