standard-deviant / skin-cancer-classification

Skin cancer classification using transfer learning

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Skin Cancer Classifier

The Skin Cancer Classifier is a Bio-Informatics project which relies on an ML model to classify skin cells containing cancer.

This model relies on a Convolutional Neural Network (CNN), which takes skin cell photographs as inputs and classifies whether the patient under test is suffering from Skin Cancer.

Files => This Files loads input data to test/detect Cancer. => This file sets up the neural network model, so that it can work as a classifier. => This file will automatically resize and grayscale the input photographs so that they can be processed for the easier use of the model.

Contributors: Kevin, Vaishnavi, Sayand, Arjun


Skin cancer classification using transfer learning


Language:Python 100.0%