Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.

Dong Wei Shilei Cao Kai Ma Yefeng Zheng

Published in: CoRR (2020)

Keyphrases

image classification
learning process
learning systems
visual recognition
reinforcement learning
learning tasks
learning algorithm
supervised learning
learning scenarios
data sets
neural network
high level
feature extraction
active learning
visual categorization