Building a novel deep learning architecture
Budget: ₹12,500 – ₹37,500 INR
I want to work on ISIC skin cancer classification dataset
1. Here we want to use novel GAN model for data balancing add dataset is highly imbalanced.
2. Develop a novel U-Net based architecture for image segmentation.
3. Develop a novel deep residual and skin convoluted or state of art architecture to achieve atleast 95% accuracy on ISIC17,ISIC18,ISIC19 and ISIC20 dataset coding to be done using tensorflow and environment is preferably Google Colab.
1. Here we want to use novel GAN model for data balancing add dataset is highly imbalanced.
2. Develop a novel U-Net based architecture for image segmentation.
3. Develop a novel deep residual and skin convoluted or state of art architecture to achieve atleast 95% accuracy on ISIC17,ISIC18,ISIC19 and ISIC20 dataset coding to be done using tensorflow and environment is preferably Google Colab.