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Skin-Cancer-Detection-Using-BLIP-Fine-Tuned-with-DoRA

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Skin cancer ranks among the most prevalent cancers globally, with early identification crucial for improving patient outcomes. This study presents a strategy for skin cancer detection using a fine-tuned BLIP-2 (Bootstrapped Language-Image Pre- training) model, optimized via Weight-Decomposed Low-Rank Adaptation (DoRA).

Creat2025-05-22T06:30:03
Update2025-05-22T17:54:43
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