Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography.
Waheeda SaibDavid SengehGcininwe DlaminiElvira SinghPublished in: CoRR (2020)
Keyphrases
- breast cancer
- deep learning
- breast cancer diagnosis
- mammogram images
- bladder cancer
- restricted boltzmann machine
- clinical diagnosis
- computer aided detection
- unsupervised learning
- diagnosis of breast cancer
- microcalcification clusters
- benign and malignant
- breast tissue
- machine learning
- logistic regression
- pattern recognition
- cancer datasets
- training set
- decision trees
- cancer patients
- lung nodules
- computer aided diagnosis
- learning algorithm
- feature selection
- classification accuracy
- feature extraction
- feature set
- supervised learning
- feature vectors
- training data
- breast cancer patients
- data sets
- computer vision
- mental models
- random forest
- computer aided
- text classification
- text mining
- active learning