Multi-class classification

Hey, I am doing skin cancer classification with 9 classes, i am having a problem with overfitting as my train Accuracy can reach up to 90 with test acc=50 at best.

https://www.kaggle.com/pattnaiksatyajit/skin-cancer

I have tried dropout, l2,l1 data augmentation lowering my network size, class weights, all it did was a longer training epoch with the same results as test acc never improved.

I am using cnn, is there another architect I can use? can I transfer this problem to “one vs all”?using TensorFlow ?