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A Convolutional neural network (CNN)model to train and detect skin cancer (benign and malignant) disease using DDI(Diverse Dermatology Images)Dataset.

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syedissambukhari/skin-cancer-detection-using-ddi-dataset

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skin-cancer-detection-using-ddi-dataset

A Convolutional neural network (CNN)model to train and detect skin cancer (benign and malignant) disease using DDI(Diverse Dermatology Images)Dataset.

First install all the required libraries if not installed.

For Training your own Custom model,Use skin_training.ipynb file.

To detect(predict) any Image open skin_Prediction.ipynb file.

I also implemented the Alexnet algorithm.

Note:Extract the images_for_prediction.rar file for samples.Changes the directory of image and skincancer.h5 model in skin_Prediction.ipynb file for Detection if not the same directory.

Dataset Link:

https://drive.google.com/drive/folders/1ANGAsb5ghSmPef2Z3gDsDzwP4QS0Gs6h?usp=drive_link

ResNet Model Link:

https://drive.google.com/file/d/1H36D8Mglvvy8rX4zd0U0LmNbkXIfqt5i/view?usp=sharing

AlexNet model:

https://drive.google.com/file/d/1SHn3JhjHJV7-UANZQejR0WOL9RlOQ6zE/view?usp=sharing

SVM model Link:

https://drive.google.com/file/d/1QrsxLtFCs_I3JjnWH3V7Z-Et0S9hrhRN/view?usp=sharing

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A Convolutional neural network (CNN)model to train and detect skin cancer (benign and malignant) disease using DDI(Diverse Dermatology Images)Dataset.

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