Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning

This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.

📝 Table of Contents

• 🧐 About
• 📊 Dataset Overview
• 🧠 Model Building
• 🎯 Model Performance
• 🏅 Model Evaluation

🧐 About

Melanoma is a type of skin cancer that occurs when pigment-producing cells (melanocytes) mutate and become cancerous. Melanoma is the most serious form of skin cancer and 5th most common cancer.

The American Cancer Society estimates around 207,390 new melanoma cases will be diagnosed in 2021. As with other cancers, early and accurate detection—potentially aided by data science—can make treatment more effective.

Currently, dermatologists evaluate every one of a patient's moles to identify outlier lesions that are most likely to be melanoma.

📊 Dataset Overview

The dataset was taken from the competition hosted by SIIM-ISIC on Kaggle.

• Malignant: A cancerous growth that can spread very quickly and invade nearby tissues
• Benign: A non-cancerous growth that usually grows very slowly and does not spread to other areas

Click to view 👇 :

🧠 Model Building

🎯 Model Performance

🏅 Model Evaluation

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Thank you!