Adaptive thresholding improves the visibility of essential features by dynamically modifying the threshold for each region, hence aiding in the detection of suspicious tissue or possibly significant patterns. ⁃ Adaptive Thresholding Process Grayscale Conversion: The image of the cutaneous lesion is transformed into grayscale to facilitate the analysis of pixel intensity data.
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AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.
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