Radiology Objects in COntext (ROCO): A Multimodal Image Dataset
暂无分享,去创建一个
Johannes Rückert | Sven Koitka | Christoph M. Friedrich | Obioma Pelka | Felix Nensa | C. Friedrich | F. Nensa | Obioma Pelka | Sven Koitka | Johannes Rückert | S. Koitka | Sven Koitka
[1] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[2] R. J. Roberts. PubMed Central: The GenBank of the published literature. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[3] Barbara Caputo,et al. Overview of the CLEF 2009 Medical Image Annotation Track , 2009, CLEF.
[4] Henning Müller,et al. Overview of the ImageCLEF 2016 Medical Task , 2016, CLEF.
[5] Christoph M. Friedrich,et al. FHDO Biomedical Computer Science Group at Medical Classification Task of ImageCLEF 2015 , 2015, CLEF.
[6] Yan Xu,et al. Deep learning of feature representation with multiple instance learning for medical image analysis , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[7] Sven Koitka,et al. Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification , 2017, CLEF.
[8] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[9] Christoph M. Friedrich,et al. Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval , 2018, BIOIMAGING.
[10] Martin Porter,et al. Snowball: A language for stemming algorithms , 2001 .
[11] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[12] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[13] Henning Müller,et al. Overview of the ImageCLEF 2015 Medical Classification Task , 2015, CLEF.
[14] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[15] Sameer Antani,et al. Creating a classification of image types in the medical literature for visual categorization , 2012, Other Conferences.
[16] Christoph M. Friedrich,et al. Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks , 2017, CLEF.
[17] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[18] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[19] Henning Müller,et al. Overview of the ImageCLEF 2013 Medical Tasks , 2013, CLEF.
[20] Luca Soldaini. QuickUMLS: a fast, unsupervised approach for medical concept extraction , 2016 .
[21] Andrew Y. Ng,et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning , 2017, ArXiv.
[22] Dumitru Erhan,et al. Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Ewan Klein,et al. Natural Language Processing with Python , 2009 .