MSE491: Early Self-diagnostic for skin lesion disorder

spring '21

technical skills: Machine Learning, Python3

One of my favorite classes I've taken at SFU has been MSE 491, a graduate Machine Learning class. For the MSE 491 final project, the objective is to train a classification model for skin monitoring at an early stage using the ISIC 2019 dataset i.e the International Skin Imaging Collaboration (ISIC) has created an ISIC archive, a largest publicly-collected set of classified skin cancer images as a benchmark for education and research. By using Convolutional Neural Network (CNN) and Python for image processing, this implementation is repeatable and can perform as an easily-accessible, early self-diagnostic or monitoring option for the general population. You can read the report here