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We present an integrated framework for using Convolutional Networks for classification, localization and detection. We show how a multiscale and sliding window approach can be efficiently implemented within a ConvNet. We also introduce a novel deep learning approach to localization by learning to predict object boundaries. Bounding boxes are then(More)
This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several largescale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results. Comparisons are offered against traditional models such as bag of words,(More)
Cells released from primary tumors seed metastases to specific organs by a nonrandom process, implying the involvement of biologically selective mechanisms. Based on clinical, functional, and molecular evidence, we show that the cytokine TGFbeta in the breast tumor microenvironment primes cancer cells for metastasis to the lungs. Central to this process is(More)
Metastasis from lung adenocarcinoma can occur swiftly to multiple organs within months of diagnosis. The mechanisms that confer this rapid metastatic capacity to lung tumors are unknown. Activation of the canonical WNT/TCF pathway is identified here as a determinant of metastasis to brain and bone during lung adenocarcinoma progression. Gene expression(More)
In order to meet the strong demand for wireless broadband services from fast-growing mobile users, the International Telecommunication Union (ITU) has initiated the standardization process of the next-generation mobile communication systems, entitled IMT-Advanced or fourth-generation (4G) mobile systems [1]. According to the performance and technical(More)
..................................................................................................................................................... 1 Preface ........................................................................................................................................................ iv Acknowledgements(More)
This article demonstrates that we can apply deep learning to text understanding from characterlevel inputs all the way up to abstract text concepts, using temporal convolutional networks(LeCun et al., 1998) (ConvNets). We apply ConvNets to various large-scale datasets, including ontology classification, sentiment analysis, and text categorization. We show(More)
Brain metastasis is an ominous complication of cancer, yet most cancer cells that infiltrate the brain die of unknown causes. Here, we identify plasmin from the reactive brain stroma as a defense against metastatic invasion, and plasminogen activator (PA) inhibitory serpins in cancer cells as a shield against this defense. Plasmin suppresses brain(More)
In recent years, a small number of cells that have stem cell properties were identified in human gliomas called brain tumor stem cells (BTSCs), which were thought to mainly contribute to the initiation and development of gliomas and could be identified by the surface marker CD133. However, recent studies indicated that the expression of CD133 might be(More)