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Mini‑LLM‑Augmented Explainable Multi‑Class Chest X‑ray Classification for COVID‑19 Clinical Decision Support

2026-05-12

Abstract excerpt

<title>Abstract</title> <p>Mini‑LLM–augmented explainable AI framework for multi‑class analysis of chest X‑rays to support COVID‑19 screening/triage workflows. The pipeline uses a deep convolutional classifier (EfficientNet‑B0) trained to discriminate four clinically relevant categories (COVID‑19, Lung Opacity, Normal, and Viral Pneumonia). To improve transparency, model attention is visualized using Grad‑CAM++ h...

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Literature Corpus work
92f0f8b9-1861-5044-a526-91977e640afb
DOI
10.21203/rs.3.rs-8433620/v1
Open publication

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Mini‑LLM‑Augmented Explainable Multi‑Class Chest X‑ray Classification for COVID‑19 Clinical Decision SupportDOI 10.21203/rs.3.rs-8433620/v1
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