Growth-pattern classification of pulmonary nodules based on variation of CT number histogram and its potential usefulness in nodule differentiation.
Yoshiki KawataAkira KawamataNoboru NikiHironobu OhmatsuRyutaro KakinumaKenji EguchiMasahiro KanekoNoriyuki MoriyamaPublished in: Medical Imaging: Computer-Aided Diagnosis (2009)
Keyphrases
- pulmonary nodules
- pattern classification
- ct images
- computed tomography
- ct scans
- computer aided detection
- computer aided diagnosis
- computer aided
- lung cancer
- medical imaging
- neural network
- differential diagnosis
- nearest neighbor rule
- lung nodules
- medical images
- pattern recognition
- thoracic ct images
- intraoperative
- pattern classification problems
- region of interest
- nearest neighbor
- feature selection
- computer vision
- machine learning