Computer Methods and Programs in Biomedicine · 2016 · 479 citations · 31 references
ComputingComputer ScienceRadiologyComputer VisionDiagnostic ImagingMachine LearningDeep LearningMedical Image AnalysisMedical ImagingPattern RecognitionRepresentation LearningTumor DetectionConvolutional Neural Network DetectionConvolutional Neural NetworksDeep Learning-based Lesion ClassificationLesion ClassificationMammography
31
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations
Random search for hyper-parameter optimization
James Bergstra, Yoshua Bengio · 2012 · 7.9K citations
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals et al. · arXiv (Cornell University) · 2013 · 3.6K citations · Full text
Deep Learning: Methods and Applications
Li Deng, Dong Yu · Foundations and Trends® in Signal Processing · 2014 · 3.3K citations · Full text
What is the best multi-stage architecture for object recognition?
Kevin Jarrett, Koray Kavukcuoglu, M. Ranzato et al. · 2009 · 2.2K citations