Dermatological Image Classification

This assignment focuses on developing a neural network to identify skin changes through images from the 2018 ISIC challenge.

The spectrum of skin changes ranges from benign melanocytic nevi to malignant melanoma, which can have fatal consequences in the worst-case scenarios. As part of the process of detecting malignant melanoma, an initial screening occurs, where the appearance of the skin changes raises suspicion of malignancy, leading to surgical removal of the lesion and diagnosis based on the tissue analysis [1]. The objective of this assignment is to develop a machine learning (ML) algorithm that could streamline the diagnostic process and serve as a support in identifying which skin changes require surgical excision for further analysis. This ML-model is designed to differentiate between two categories of skin changes: melanocytic nevi and malignant melanoma [2].

The git repository is private as the assignment is reused. Please contact me to get temporary access to the repository and the report.