Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks.
Kazuki UeharaMasahiro MurakawaHirokazu NosatoHidenori SakanashiPublished in: ICIP (2020)
Keyphrases
- image analysis
- convolutional neural networks
- multiscale
- reinforcement learning
- learning algorithm
- incremental learning
- learning tasks
- pattern recognition
- neural network
- learning analytics
- online learning
- learning process
- image segmentation
- decision trees
- active learning
- scale space
- knowledge acquisition
- natural images
- unsupervised learning
- learning experience
- remote sensing
- learning problems
- machine learning
- data sets