Melanoma Prediction using Machine learning Jul 2017 - Jun 2018
Designed and developed an application to be used by dermatologists to predict whether a skin lesion under test is Malignant or Benign. The application was developed in two stages , the first being image processing where in colour values of a skin lesion image were fed to a machine learning model followed by the training of neural network with sufficient amount of training data set using the Back Propogation algorithm. The model then predicted the test images as Benign or Malignant.
