Modified Topological Image Preprocessing for Skin Lesion Classifications
Hong Cheng Rebekah Leamons Ahmad Al Shami
This paper proposes a modified Topological Data Analysis model for skin
images preprocessing and enhancements. The skin lesion dataset HAM10000 used
with the intention of identifying the important objects in relevant regions of
the images. In order to evaluate both the original dataset and the preprocessed
dataset, Deep Convolutional Neural Network and Vision Transformer models were
utilized to train both models. After training, the experimental results
demonstrate that the images preprocessed using the Modified Topological Data
Analysis consistently perform better.