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Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors.
Darvin Yi
Rebecca Lynn Sawyer
David Cohn III
Jared Dunnmon
Carson Lam
Xuerong Xiao
Daniel L. Rubin
Published in:
CoRR (2017)
Keyphrases
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deep learning
breast tumors
benign and malignant
digital mammograms
breast cancer
unsupervised learning
malignant melanoma
machine learning
lung nodules
pattern recognition
automated detection
numerical data
support vector
feature vectors
classification accuracy
supervised learning
text classification
feature extraction
mental models
feature selection
weakly supervised
pairwise
receiver operating characteristic
feature space
logistic regression
decision trees
training set