Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation.
Khaoula Belhaj SoulamiNaima KaabouchMohamed Nabil SaidiAhmed TamtaouiPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- digital mammograms
- breast tumors
- semantic segmentation
- benign and malignant
- clustered microcalcifications
- breast cancer
- automated detection
- digital mammography
- mammographic images
- scene classification
- superpixels
- receiver operating characteristic
- lung nodules
- automated analysis
- object categories
- numerical data
- ultrasonic images
- ultrasound images
- microcalcification clusters
- fractal analysis
- lung cancer
- medical images
- object detection
- segmentation algorithm
- breast tissue
- input image
- multiscale
- image segmentation
- feature selection
- information retrieval
- image processing
- machine learning
- level set
- logistic regression