Using deep machine learning to detect esophageal lesions in PET-CT scans.
I. AckerleyRhodri SmithJ. ScuffhamMark D. Halling-BrownEmma LewisEmiliano SpeziV. PrakashKevin WellsPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Keyphrases
- ct scans
- computer aided detection
- machine learning
- computer aided diagnosis
- ct images
- pet images
- computed tomography
- rigid registration
- medical images
- pulmonary nodules
- x ray
- medical imaging
- image reconstruction
- breast cancer
- computer aided
- automated segmentation
- ct data
- positron emission tomography
- imaging modalities
- computer tomography
- computer vision
- region of interest
- pattern recognition
- decision trees
- magnetic resonance imaging
- registration accuracy
- magnetic resonance
- lung nodules
- cad systems
- organ segmentation
- image analysis
- liver segmentation
- computed tomography images
- abdominal organs
- medical image analysis
- medical diagnosis
- optical flow
- feature selection