Class-Oriented Features Selection Technology in Medical Images Classification Problem on the Example of Distinguishing Between Tuberculosis Sensitive and Resistant Forms.
Oleksandr MatviichukOlena NosovetsMykola LinnikOleksandr DavydkoVladimir PavlovIevgen NastenkoPublished in: CSIT (1) (2021)
Keyphrases
- medical images
- class labels
- classification accuracy
- feature vectors
- medical imaging
- feature extraction
- feature set
- selecting features
- anatomical structures
- medical image segmentation
- feature space
- biomedical images
- medical image analysis
- image intensity
- magnetic resonance images
- deformable models
- magnetic resonance
- mr images
- computer aided diagnosis
- ct images
- magnetic resonance imaging
- medical diagnosis
- segmentation of medical images
- soft tissue
- feature selection
- computed tomography
- clinical practice
- x ray images
- medical data
- region of interest
- feature subset
- gender classification
- image features
- imaging modalities
- image classification
- multi modality
- pattern recognition
- image segmentation
- text classification
- clinical applications
- mri images
- medical image retrieval
- computer tomography
- image modalities