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This paper proposes a modified Topological Data Analysis model for skinimages preprocessing and enhancements. The skin lesion dataset HAM10000 usedwith the intention of identifying the important objects in relevant regions ofthe images. In order to evaluate both the original dataset and the preprocesseddataset, Deep Convolutional Neural Network and Vision Transformer models wereutilized to train both models. After training, the experimental resultsdemonstrate that the images preprocessed using the Modified Topological DataAnalysis consistently perform better.

Modified Topological Image Preprocessing for Skin Lesion Classifications