A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Mugahed A. Al-antariMohammed A. Al-masniMun-Taek ChoiSeung-Moo HanTae-Seong KimPublished in: Int. J. Medical Informatics (2018)
Keyphrases
- computer aided diagnosis
- x ray
- medical imaging
- clustered microcalcifications
- deep learning
- lung nodules
- fully integrated
- mammogram images
- pectoral muscle
- medical images
- digital mammograms
- ct scans
- x ray images
- breast cancer
- early detection of breast cancer
- computed tomography
- anatomical structures
- intraoperative
- computer aided
- dermoscopy images
- image analysis
- ct images
- image segmentation
- unsupervised learning
- pulmonary nodules
- cad systems
- machine learning
- three dimensional
- magnetic resonance imaging
- segmentation method
- segmentation algorithm
- supervised learning
- benign and malignant
- shape prior
- text classification
- object detection
- multiscale
- image processing
- feature selection