… machine learning where algorithms are created and operate similarly to those in machine
learning… ) to pre-select digital mammogram images based on the machine learning interpreted …

… Machine Learning is the specific topic which this thesis deals with. Recent developments
in Statistical Learning Theory led to the first appearance of powerful algorithms of automatic …

… Retrospective studies demonstrate the performance of stand-alone machine learning
applications in screening mammography can reach reader performance and can provide a …

… The Tommy data set was originally compiled to determine the efficacy and diagnostic
performance of DBT in comparison to digital mammography with images from women aged 47 to …

… (60) propose an automated binary model for tissue classification in digital mammograms.
The model utilizes statistical features obtained through multiscale decomposition of images …

… ■ Describe how neural networks enable deep learning … at digital mammography and digital
breast tomosynthesis (DBT) … in machine learning, may make CAD for mammography more …

… high learning efficiency. In this paper, a breast tumor detection algorithm in digital mammography
… A CAD of breast tumor detection based on machine learning turns out to be an efficient …

… learning machine (ELM). With the fast development of computer vision and machine learning,
… and little human intervention in the machine learning community. Especially in the field of …

… machine learning to deep learning in the context of computeraided detection of breast
cancer from mammographic … that simpler statistical machine learning techniques may provide …

… in the last decade on machine learning (ML) and a special type of this, deep learning (DL). …
of breast cancer classification based on digital mammography images. Different pre-trained …