Feasibility study of deep convolutional generative adversarial networks to generate mammography images.
Gihun KimHyunjung ShimJongduk BaekPublished in: Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Keyphrases
- image analysis
- image data
- input image
- three dimensional
- object recognition
- image retrieval
- image database
- ground truth
- image collections
- image registration
- deep learning
- lighting conditions
- d objects
- image features
- image classification
- segmentation algorithm
- image matching
- test images
- image set
- video sequences
- similarity measure
- edge detection
- generative model
- unsupervised learning
- network structure