2017 Deep Learning and Convolutional Neural Networks for Medical Image Computing.pdf

The state-of-the-art methods used for relation classification are primarily based on statistical machine learning, and their performance strongly depends on the quality of the extracted features. The extracted features are often derived from the output of pre-existing natural language processing (NLP) systems, which leads to the propagation of the errors in the existing tools and hinders the performance of these systems.

Multi-focus image fusion with a deep convolutional neural network的源码