Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
暂无分享,去创建一个
Bram van Ginneken | Geert J. S. Litjens | Paul K. Gerke | Clara I. Sánchez | Colin Jacobs | Arnaud Arindra Adiyoso Setio | P. K. Gerke | Francesco Ciompi | Mathilde M. W. Wille | Sarah J. van Riel | Matiullah Naqibullah | G. Litjens | B. Ginneken | C. Sánchez | F. Ciompi | C. Jacobs | A. Setio | M. Wille | C. I. Sánchez | Matiullah Naqibullah | S. Riel
[1] Bram van Ginneken,et al. Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[2] Jürgen Schmidhuber,et al. Multi-column deep neural network for traffic sign classification , 2012, Neural Networks.
[3] Jan Cornelis,et al. Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules , 2013, Artif. Intell. Medicine.
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[6] Youngjin Yoo,et al. Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning , 2014, MICCAI.
[7] Huai Li,et al. Artificial convolution neural network for medical image pattern recognition , 1995, Neural Networks.
[8] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[9] Eran A Barnoy,et al. Toward clinically usable CAD for lung cancer screening with computed tomography , 2014, European Radiology.
[10] Ilaria Gori,et al. A voxel-based neural approach (VBNA) to identify lung nodules in the ANODE09 study , 2009, Medical Imaging.
[11] Fabio A. González,et al. A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection , 2013, MICCAI.
[12] D. Xu,et al. Nodule management protocol of the NELSON randomised lung cancer screening trial. , 2006, Lung cancer.
[13] Tae-Sun Choi,et al. Automated Pulmonary Nodule Detection System in Computed Tomography Images: A Hierarchical Block Classification Approach , 2013, Entropy.
[14] A. Dirksen,et al. The Danish Randomized Lung Cancer CT Screening Trial—Overall Design and Results of the Prevalence Round , 2009, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.
[15] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[16] Piergiorgio Cerello,et al. A novel multithreshold method for nodule detection in lung CT. , 2009, Medical physics.
[17] C Peroni,et al. Large scale validation of the M5L lung CAD on heterogeneous CT datasets. , 2015, Medical physics.
[18] Ricardo A. M. Valentim,et al. Computer-aided detection system for lung cancer in computed tomography scans: Review and future prospects , 2014, BioMedical Engineering OnLine.
[19] Temesguen Messay,et al. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery , 2010, Medical Image Anal..
[20] Richard C. Pais,et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. , 2011, Medical physics.
[21] Hiroshi Fujita,et al. Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter , 2012, International Journal of Computer Assisted Radiology and Surgery.
[22] Colin Jacobs,et al. Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial , 2015, European Radiology.
[23] Dinggang Shen,et al. Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis , 2014, MICCAI.
[24] Bram van Ginneken,et al. A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification , 2009, Medical Image Anal..
[25] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[26] Donato Cascio,et al. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models , 2012, Comput. Biol. Medicine.
[27] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[28] J. Mayo,et al. The Lung Reporting and Data System (LU-RADS): A Proposal for Computed Tomography Screening , 2014, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.
[29] Luca Bogoni,et al. Performance of computer-aided detection of pulmonary nodules in low-dose CT , 2018 .
[30] M. Roizen. Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening , 2012 .
[31] Christian Igel,et al. Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network , 2013, MICCAI.
[32] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[33] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Bram van Ginneken,et al. Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images , 2014, Medical Image Anal..
[35] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[36] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[37] Qiang Li,et al. High performance lung nodule detection schemes in CT using local and global information. , 2012, Medical physics.
[38] Ronald M. Summers,et al. A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations , 2014, MICCAI.
[39] Ilaria Gori,et al. Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study , 2010, Medical Image Anal..
[40] A. Reeves,et al. Automated detection of small pulmonary nodules in whole lung CT scans. , 2007, Academic radiology.
[41] Max A. Viergever,et al. On Combining Computer-Aided Detection Systems , 2011, IEEE Transactions on Medical Imaging.
[42] Heinz-Otto Peitgen,et al. Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans , 2006, IEEE Transactions on Medical Imaging.
[43] Bram van Ginneken,et al. Automatic detection of large pulmonary solid nodules in thoracic CT images. , 2015, Medical physics.