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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.

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Melanoma_SkinCancer_findings

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.

Most Importantly it is adviced to change path of data as per its input location

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Table of Contents

General Information

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  • What is the background of your project?
  • What is the business probem that your project is trying to solve?
  • What is the dataset that is being used?

Conclusions

  • Conclusion 1 from the analysis
  • Conclusion 2 from the analysis
  • Conclusion 3 from the analysis
  • Conclusion 4 from the analysis

Technologies Used

  • library - version 1.0
  • library - version 2.0
  • library - version 3.0

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  • This project was based on this tutorial.

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

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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.

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