How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography.
Mika YamamuroYoshiyuki AsaiNaomi HashimotoNao YasudaTakahiro YamadaMitsutaka NemotoYuichi KimuraHisashi HandaHisashi YoshidaKoji AbeMasahiro TadaHitoshi HabeTakashi NagaokaYoshiaki OzakiSeiun NinKazunari IshiiYongbum LeePublished in: Medical Imaging: Computer-Aided Diagnosis (2021)
Keyphrases
- deep learning
- training data
- breast cancer detection
- unsupervised learning
- supervised learning
- computer aided
- breast cancer
- machine learning
- unsupervised feature learning
- decision trees
- weakly supervised
- mental models
- training set
- computer aided diagnosis
- training samples
- learning algorithm
- training examples
- region of interest
- prostate cancer
- data sets
- active learning
- deep architectures
- viewpoint
- input image
- automatic extraction
- bayesian networks
- pattern recognition
- labeled data