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.
@article{arxiv.2308.06796,
title = {Modified Topological Image Preprocessing for Skin Lesion Classifications},
author = {Hong Cheng and Rebekah Leamons and Ahmad Al Shami},
journal= {arXiv preprint arXiv:2308.06796},
year = {2023}
}
Comments
Presented at CSCE 2022, The 2022 World Congress in Computer Science, Computer Engineering & Applied Computing, July 25-28, 2022, Las Vegas, USA