Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset.
Korranat NaruenatthanasetThanarat H. ChalidabhongseDuangdao PalasuwanNantheera AnantrasirichaiAttakorn PalasuwanPublished in: CoRR (2020)
Keyphrases
- cell segmentation
- imbalanced datasets
- blood cells
- classification accuracy
- cancer cells
- low contrast
- decision trees
- text classification
- rare class
- classification models
- quantitative analysis
- machine learning
- microscope images
- cost sensitive learning
- class labels
- support vector machine svm
- feature vectors
- medical images
- supervised learning
- support vector
- cell division
- feature selection
- data sets
- svm classifier
- class distribution
- training samples
- clinical applications
- microscopy images
- support vector machine