A text analysis Web service for technical articles includes topic identification and keywords extraction. The model of topic identification uses a pre-trained BERT and fine-tuned on the dataset of LinkedInfo.co and questions on Stack Overflow.
A skin lesion classifier that uses a deep neural network trained on the HAM10000 dataset. An implementation of the ISIC challenge 2018 task 3.
Introduction In this post we will show how to do skin lesion image classification with deep neural networks. It is an image classifier trained on the HAM10000 dataset, the same problem in the International Skin Imaging Collaboration (ISIC) 2018 challenge task3.
The solution in this post is mainly based on some web posts and methods from the ISIC2018 leadboard.
The classification neural network model is tested with pretrained ResNet and DenseNet and implemented with PyTOrch.