Breast Cancer Classification of Histopathological Images using Deep Convolutional Neural Networks.
Athanasios KanavosEfstratios KolovosOrestis PapadimitriouManolis MaragoudakisPublished in: SEEDA-CECNSM (2022)
Keyphrases
- feature selection
- breast cancer
- classification accuracy
- breast cancer diagnosis
- convolutional neural networks
- text classification
- computer aided detection
- machine learning
- support vector
- bladder cancer
- mammogram images
- computer aided diagnosis
- logistic regression
- early detection
- feature extraction
- microcalcification clusters
- cancer datasets
- histopathological images
- cancer classification
- region growing
- breast tissue
- fully automatic
- pattern recognition
- multiscale
- computer vision