Abstract:
Recently, Artificial Intelligence (AI) has permeated all areas of scientific study
due to the solutions it provides in the field of health.
The most common type of cancer in the world is skin cancer. Because early
recognition is crucial for improving patient outcomes, we focused our efforts on
developing a skin image classification model that differentiates benign from
malignant melanoma. Based on a set of data generated using the CNN model, our
model is based. To train our models, we used publicly accessible sites such as
Google Colab and Kaggle. In this study, we applied the CNN architecture to a variety
of information containing both benign and malignant data.
In this project we have achieved a high accuracy in recognizing and
classifying skin cancer with a score of 91%.
