Classification of teeth in cone-beam CT using deep convolutional neural network
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Xiangrong Zhou | Tatsuro Hayashi | Takeshi Hara | Akitoshi Katsumata | Chisako Muramatsu | Hiroshi Fujita | Yuma Miki | A. Katsumata | H. Fujita | Xiangrong Zhou | T. Hara | C. Muramatsu | Tatsuro Hayashi | Yuma Miki | T. Hayashi
[1] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[2] Ronald M. Summers,et al. Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation , 2015, IEEE Transactions on Medical Imaging.
[3] Michael J. Thali,et al. Validation of post mortem dental CT for disaster victim identification , 2016 .
[4] Timothy F. Cootes,et al. A benchmark for comparison of dental radiography analysis algorithms , 2016, Medical Image Anal..
[5] James D Wood. Forensic dental identification in mass disasters: the current status. , 2014, Journal of the California Dental Association.
[6] Marios Anthimopoulos,et al. Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network , 2016, IEEE Transactions on Medical Imaging.
[7] Dipali Rindhe,et al. A Review of Dental Biometrics from Teeth Feature Extraction and Matching Techniques , 2015 .
[8] Hiroshi Fujita,et al. Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique. , 2016, Medical physics.
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[11] Stuart Crozier,et al. Dental identification system based on unwrapped CT images , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[12] Anil K. Jain,et al. Matching of dental X-ray images for human identification , 2004, Pattern Recognit..
[13] Denise A. Trochesset,et al. Generation of Intra‐oral‐like Images from Cone Beam Computed Tomography Volumes for Dental Forensic Image Comparison , 2014, Journal of forensic sciences.
[14] Nico Karssemeijer,et al. Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring , 2016, IEEE Transactions on Medical Imaging.
[15] Bram van Ginneken,et al. Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks , 2016, IEEE Transactions on Medical Imaging.
[16] Lubomir M. Hadjiiski,et al. Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets. , 2016, Medical physics.
[17] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[18] Agus Zainal Arifin,et al. Classification and numbering on posterior dental radiography using support vector machine with mesiodistal neck detection , 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.
[19] P. L. Lin,et al. An effective classification and numbering system for dental bitewing radiographs using teeth region and contour information , 2010, Pattern Recognit..
[20] Mohammad Hosntalab,et al. Classification and numbering of teeth in multi-slice CT images using wavelet-Fourier descriptor , 2009, International Journal of Computer Assisted Radiology and Surgery.
[21] Mohamed Abdel-Mottaleb,et al. A content-based system for human identification based on bitewing dental X-ray images , 2005, Pattern Recognit..