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We consider the problem of localizing and segmenting individual teeth inside 3D Cone-Beam Computed Tomography (CBCT) images.
“User-guided 3d active contour segmentation of anatomical structures: Significantly improved efficiency and reliability,”
Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee, and Guido Gerig, · 2006
Earlier work this paper cites.
“Generative adversarial networks,”
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio, · 2014
Earlier work this paper cites.
“Adam: A method for stochastic optimization,”
Diederik P. Kingma and Jimmy Ba, · 2014
Earlier work this paper cites.
“U-net: Convolutional networks for biomedical image segmentation,”
Olaf Ronneberger, Philipp Fischer, and Thomas Brox, · 2015
Earlier work this paper cites.
“An overview of current evaluation methods used in medical image segmentation,”
Varduhi Yeghiazaryan and Irina Voiculescu, · 2015
Earlier work this paper cites.
“V-net: Fully convolutional neural networks for volumetric medical image segmentation,”
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi, · 2016
Earlier work this paper cites.
“3d u-net: Learning dense volumetric segmentation from sparse annotation,”
Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, and Olaf Ronneberger, · 2016
Earlier work this paper cites.
“A benchmark for comparison of dental radiography analysis algorithms,”
Ching-Wei Wang, Cheng-Ta Huang, Jia-Hong Lee, Chung-Hsing Li, Sheng-Wei Chang, Ming-Jhih Siao, Tat-Ming Lai, Bulat Ibragimov, Tomaž Vrtovec, Olaf Ronneberger, Philipp Fischer, Tim F. Cootes, and Claudia Lindner, · 2016
Earlier work this paper cites.
“Detection and classification of dental caries in x-ray images using deep neural networks,”
Ramzi Ben Ali, Ridha Ejbali, and Mourad Zaied, · 2016
Cited alongside, same era.
“Machine learning for dental image analysis,”
Young jun Yu, · 2016
Cited alongside, same era.
“A survey on deep learning in medical image analysis,”
Geert J. S. Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen van der Laak, Bram van Ginneken, and Clara I. Sánchez, · 2017
Cited alongside, same era.
“A 3d coarse-to-fine framework for automatic pancreas segmentation,”
Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, and Alan L. Yuille, · 2017
Cited alongside, same era.
“Spinal cord gray matter segmentation using deep dilated convolutions,”
Christian S. Perone, Evan Calabrese, and Julien Cohen-Adad, · 2017
“Unsupervised domain adaptation in brain lesion segmentation with adversarial networks,”
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, and Ben Glocker, · 2017
Later among the works it cites.
“Adversarial discriminative domain adaptation,”
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell, · 2017
Later among the works it cites.
“Label refinement network for coarse-to-fine semantic segmentation,”
Md. Amirul Islam, Shujon Naha, Mrigank Rochan, Neil D. B. Bruce, and Yang Wang, · 2017
Later among the works it cites.
“Classification of teeth in cone-beam ct using deep convolutional neural network,”
Yuma Miki, Chisako Muramatsu, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, and Hiroshi Fujita, · 2017
Later among the works it cites.
“Tooth labeling in cone-beam ct using deep convolutional neural network for forensic identification,”
Yuma Miki, Chisako Muramatsu, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, and Hiroshi Fujita, · 2017
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Cited alongside, same era.
“Voxresnet: Deep voxelwise residual networks for brain segmentation from 3d mr images.,”
Hao Chen, Qi Dou, Lequan Yu, Jing Qin, and Pheng-Ann Heng, · 2017
Cited alongside, same era.
“Medical image synthesis with context-aware generative adversarial networks,”
Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen, · 2017
Cited alongside, same era.
“The medical imaging interaction toolkit (mitk) – a toolkit facilitating the creation of interactive software by extending vtk and itk,”
Ivo Wolf, Marcus Vetter, Ingmar Wegner, Marco Nolden, Thomas Böttger, Mark Hastenteufel, Max Schöbinger, Tobias Kunert, Hans peter Meinzer, and Deutsches Krebsforschungszentrum,
Cited in the paper.
Later among the works it cites.
“Detection of tooth caries in bitewing radiographs using deep learning,”
Muktabh Mayank Srivastava, Pratyush Kumar, Lalit Pradhan, and Srikrishna Varadarajan, · 2017
Later among the works it cites.
“A multi-scale pyramid of 3d fully convolutional networks for abdominal multi-organ segmentation,”
Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, and Kensaku Mori, · 2018
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