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Malenoma_Detection

Built 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 which can evaluate images and alert the dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

Table of Contents

General Information

  • A solution which can evaluate images and alert the dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
  • The dataset consists of 2357 images of malignant and benign oncological diseases, which were formed from the International Skin Imaging Collaboration (ISIC)

Technologies Used

  • Python
  • Keras
  • Tensorflow
  • Augmentor
  • Numpy
  • Pandas

Conclusions

  • Accuracy on initial data - Training: 0.9035, Validation: 0.2609
  • Accuracy on optimised and agumented data - Training: 0.4799 , Validation: 0.3043
  • Accuracy on class rebalanced data - Training: 0.9566 , Validation: 0.8151

Contact

Created by @prasoonmhwr - feel free to contact me!