A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network.
Zhiyu LiuWenhao JiangKit-Hang LeeYat-Long LoYui-Lun NgQi DouVarut VardhanabhutiKa-Wai KwokPublished in: AIRT@MICCAI (2019)
Keyphrases
- weakly supervised
- neural network
- lesion detection
- fully supervised
- pattern recognition
- classification accuracy
- computer aided diagnosis
- feature vectors
- decision trees
- feature extraction
- support vector
- relation extraction
- semi supervised
- object class
- text classification
- feature space
- machine learning
- feature selection
- support vector machine
- active learning
- x ray
- image classification
- supervised learning
- training set
- object recognition