Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.
Francesco CiompiBartjan de HoopSarah J. van RielKaman ChungErnst Th. ScholtenMatthijs OudkerkPim A. de JongMathias ProkopBram van GinnekenPublished in: Medical Image Anal. (2015)
Keyphrases
- automatic classification
- ct scans
- computed tomography
- convolutional neural network
- ct images
- medical images
- image reconstruction
- medical imaging
- face detection
- ct data
- pulmonary nodules
- three dimensional
- neural network
- x ray
- computer tomography
- lung nodules
- computed tomography scans
- lung parenchyma
- automatically classify
- lung cancer
- low dose
- computer aided diagnosis
- automatic detection
- single view
- contrast enhanced
- region of interest
- automatic segmentation
- image registration
- pattern recognition
- image processing