Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.
Mugahed A. Al-antariSeung-Moo HanTae-Seong KimPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- computer aided diagnosis
- x ray
- medical imaging
- clustered microcalcifications
- mammogram images
- deep learning
- pectoral muscle
- ct scans
- digital mammography
- digital mammograms
- breast cancer
- lung nodules
- medical images
- breast cancer detection
- lesion detection
- computer aided
- x ray images
- computer aided detection
- early detection of breast cancer
- cad systems
- image analysis
- anatomical structures
- unsupervised learning
- computed tomography
- intraoperative
- ct images
- magnetic resonance imaging
- mammographic images
- benign and malignant
- magnetic resonance images
- dermoscopy images
- three dimensional
- breast tissue
- machine learning
- imaging modalities
- cone beam
- feature selection
- support vector
- pattern recognition
- image registration
- early diagnosis
- feature vectors
- digitized mammograms
- feature extraction
- image processing
- region of interest