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. Modle is built by using training data of 2357 images of malignant and benign oncological diseases, which were formed from the International Skin Imaging Collaboration (ISIC)
- Notebooks with CNN models for detecting melanoma
- Augumentation on images to handle class imbalance
- Techniques to handle underfitting and overfitting
- Python for programming , keras for building CNN models
- Project is intended to demonstrate understanding of Convultional Neural Netowrks using keras.
- Developed as part of AI/ML course by upgrad
- Identifying melanoma disease
- Images of malignant and benign oncological diseases from International Skin Imaging Collaboration
- python - version 3.0
- Keras -
- Augumentor
Created by [@sudhar91] - feel free to contact me!