Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks
暂无分享,去创建一个
[1] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[2] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[3] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[4] Anne E Carpenter,et al. Multiplex Cytological Profiling Assay to Measure Diverse Cellular States , 2013, PloS one.
[5] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[6] Tom Heskes,et al. A comparative study of cell classifiers for image-based high-throughput screening , 2014, BMC Bioinformatics.
[7] Anne E Carpenter,et al. Annotated high-throughput microscopy image sets for validation , 2012, Nature Methods.
[8] Colin Raffel,et al. Lasagne: First release. , 2015 .
[9] Luca Maria Gambardella,et al. Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition , 2010, ArXiv.
[10] Luca Maria Gambardella,et al. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition , 2010, Neural Computation.
[11] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.