Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging.
Tina DorostiManuel SchultheissFelix C. HofmannLuisa KirchnerTheresa UrbanFranz PfeifferJohannes ThalhammerFlorian SchaffTobias LasserDaniela PfeifferPublished in: CoRR (2023)
Keyphrases
- computed tomography
- ct images
- chronic obstructive pulmonary disease
- medical imaging
- convolutional neural networks
- micro ct
- medical images
- ct imaging
- ct scans
- cone beam
- cone beam ct
- computed tomography scans
- clinical applications
- low dose
- clinical practice
- fracture detection
- motion artifacts
- treatment planning
- image reconstruction
- ct data
- x ray
- anatomical structures
- computer tomography
- three dimensional
- region of interest
- radiation doses
- image processing
- radio frequency ablation
- image analysis
- filtered back projection
- image registration
- automatic detection
- coronary artery disease
- imaging modalities
- magnetic resonance
- magnetic resonance imaging
- clinical data
- medical image processing
- lymph nodes
- magnetic resonance images
- medical data
- brain imaging
- radiation therapy
- remote sensing
- lung cancer patients