Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net.
Mo ZhangXiang LiMengjia XuQuanzheng LiPublished in: CoRR (2017)
Keyphrases
- image segmentation
- deformable models
- pattern recognition
- classification accuracy
- pattern classification
- support vector machine
- computer vision
- feature space
- support vector
- decision trees
- classification scheme
- image classification
- automatic classification
- correct classification
- classification method
- features extraction
- classification rules
- disease diagnosis
- class labels
- gray level
- text classification
- supervised learning
- feature extraction
- machine learning algorithms
- segmentation algorithm
- model selection
- classification models
- unsupervised clustering
- image segmentation algorithm
- image processing
- machine learning