An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma

This section includes all the step-by-step process of getting material (datasets) and processing it using different machine learning algorithms to identify melanomas. In the following sections testing methods of algorithms are explained thoroughly.

Benchmark dataset collection

The datasets are the most critical part of the research. These datasets are used for training the model, testing, and validating the results. The Dataset is composed in such a way that it contains mutated sequences as well as normal sequences. In the proposed model to obtain the dataset of normal genes sequences are…