Python Notebook to classify Multi-Class Cancer using Convolutional Neural Networks.

• General Info
• Technologies Used
• Conclusions
• Acknowledgements

• To build a CNN based model which can accurately detect melanoma.
• Melanoma is a type of cancer that can be deadly if not detected early.
• It accounts for 75% of skin cancer deaths.
• A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

• Please refer the Notebook for conclusions.

• Augmentor - version 0.2.10
• Jupyter - version 1.0.0
• keras - version 2.9.0
• Numpy - version 1.23.2
• Matplotlib - version 3.5.3
• Pandas - version 1.4.3
• Python - version 3.9.12
• tensorflow-gpu - version 2.9.1
• VS Code - version 1.70.1
• Google Colab

• This project is performed as the part of case study from Upgrad. Thanks to Upgrad & IIIT, Bangalore for providing the required knowledge & support.
• Some references are also obtained from various internet sources.

Created by [@vijaypss] - feel free to contact me!