Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning.
Muhammad Imran RazzakSaeeda NazPublished in: CVPR Workshops (2017)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- machine learning algorithms
- decision trees
- image segmentation
- supervised machine learning
- contour detection
- image analysis
- text classification
- classification accuracy
- supervised learning
- image classification
- convolutional neural network
- feature selection
- computer vision
- feature vectors
- pixel classification
- machine learning approaches
- supervised classification
- correct classification
- boundary extraction
- energy function
- active contours
- support vector machine
- region growing
- shape prior
- neural network
- segmentation algorithm
- segmented images
- deep learning
- features extraction
- object regions
- cell nucleus
- object segmentation
- segmentation method
- unsupervised learning
- training set
- feature extraction