Combination of Radiological and Gray Level Co-occurrence Matrix Textural Features Used to Distinguish Solitary Pulmonary Nodules by Computed Tomography.
Haifeng WuTao SunJingjing WangXia LiWei WangDa HuoPingxin LvWen HeKeyang WangXiuhua GuoPublished in: J. Digit. Imaging (2013)
Keyphrases
- pulmonary nodules
- textural features
- computed tomography
- gray level co occurrence matrix
- ct images
- ct scans
- medical images
- computer aided
- texture features
- texture analysis
- medical imaging
- image reconstruction
- ct data
- local binary pattern
- three dimensional
- visual inspection
- lung cancer
- gray level
- computer aided diagnosis
- lung nodules
- pixel classification
- x ray
- texture classification
- feature extraction
- region of interest
- image processing
- medical image processing
- co occurrence
- object detection
- information content
- medical domain
- computer vision
- super resolution