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The Xception deep learning model outperforms other state-of-the-art CNN and Transformer architectures, achieving 99.92% accuracy in the classification of monkeypox and related dermatological diseases. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Benchmarking Pre-trained CNNs and Vision Transformers for Mpox-related Dermatological Image Classification on MSLD v2.0

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