Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application.
Vikash GuptaClayton TaylorSarah BonnetLuciano M. PrevedelloJeffrey HawleyRichard D. WhiteMona G. FloresBarbaros Selnur ErdalPublished in: CoRR (2020)
Keyphrases
- automatic detection
- deep learning
- unsupervised feature learning
- unsupervised learning
- machine learning
- image analysis
- high resolution
- clinical data
- mental models
- medical imaging
- computer aided diagnosis
- surgical procedures
- computer vision
- breast cancer
- weakly supervised
- clinical practice
- image processing
- lymph nodes
- feature space
- medical experts
- clinical setting