Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasets.
Chao WangThierry PécotDebra L. ZyngerRaghu MachirajuCharles L. ShapiroKun HuangPublished in: J. Am. Medical Informatics Assoc. (2013)
Keyphrases
- breast cancer
- survival analysis
- morphological features
- breast tumors
- computer aided diagnosis
- early detection
- diagnosis of breast cancer
- ultrasound images
- breast cancer diagnosis
- logistic regression
- cancer datasets
- numerical data
- breast cancer patients
- computer aided detection
- mammogram images
- bladder cancer
- data sets
- digital mammography
- benign and malignant
- cancer patients
- regression model
- breast cancer detection
- loss function
- feature vectors
- data mining