Application of noise-reduction techniques to machine learning algorithms for breast cancer tumor identification.
Avani AhujaLidia Al-ZogbiAxel KriegerPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- breast cancer
- machine learning algorithms
- noise reduction
- breast cancer diagnosis
- decision trees
- learning algorithm
- logistic regression
- diagnosis of breast cancer
- benchmark data sets
- early detection
- machine learning
- machine learning methods
- signal to noise ratio
- breast cancer detection
- computer aided diagnosis
- edge detection
- mammogram images
- image processing
- disease progression
- breast tissue
- cancer patients
- breast cancer patients
- x ray