Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images.
Mohammad Ibrahim SarkerHyongsuk KimDenis TarasovDinar AkhmetzanovPublished in: CoRR (2019)
Keyphrases
- breast cancer
- mammogram images
- breast cancer diagnosis
- benign and malignant
- bladder cancer
- breast tissue
- computer aided detection
- input image
- diagnosis of breast cancer
- image data
- logistic regression
- digital mammography
- mammographic images
- three dimensional
- cancer datasets
- early detection
- breast cancer detection
- microcalcification clusters
- computer aided diagnosis
- early detection of breast cancer
- survival analysis
- classification accuracy
- support vector
- lung nodules
- digital mammograms
- machine learning
- fractal analysis
- image registration
- image analysis
- quantitative evaluation
- breast cancer patients
- training set
- decision trees
- region of interest
- computer aided
- feature extraction