Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks.

作者: Jayashree Kalpathy-Cramer , Jay B. Patel , Elizabeth R. Gerstner , Bruce R. Rosen , Katharina Hoebel

DOI:

关键词: Artificial intelligenceKernel (statistics)SegmentationUncertainty estimationPattern recognitionComputer science

摘要: … To this end, we propose to inject modified selective kernel (SK) blocks [21] into our U-Net, such that the network can automatically adjust its receptive field via an attention mechanism to …

参考文章(28)
Tarik Tihan, Mitchell S. Berger, Susan M. Chang, Michael D. Prados, Joseph Wiemels, John K. Wiencke, Margaret R. Wrensch, Robert B. Jenkins, Jeanette E. Eckel-Passow, Daniel H. Lachance, Annette M. Molinaro, Kyle M. Walsh, Paul A. Decker, Hugues Sicotte, Melike Pekmezci, Terri Rice, Matt L. Kosel, Ivan V. Smirnov, Gobinda Sarkar, Alissa A. Caron, Thomas M. Kollmeyer, Corinne E. Praska, Anisha R. Chada, Chandralekha Halder, Helen M. Hansen, Lucie S. McCoy, Paige M. Bracci, Roxanne Marshall, Shichun Zheng, Gerald F. Reis, Alexander R. Pico, Brian P. O’Neill, Jan C. Buckner, Caterina Giannini, Jason T. Huse, Arie Perry, Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors The New England Journal of Medicine. ,vol. 372, pp. 2499- 2508 ,(2015) , 10.1056/NEJMOA1407279
Khan M. Iftekharuddin, Brian B. Avants, Max Wintermark, Doina Precup, Jayashree Kalpathy-Cramer, Antonio Criminisi, Michel Dojat, Ender Konukoglu, Polina Golland, Herve Delingette, Andac Hamamci, Nagesh K. Subbanna, Nicholas J. Tustison, Tal Arbel, Yuliya Burren, Darko Zikic, Duygu Sarikaya, Ben Glocker, Gabor Szekely, Joana Festa, Gozde Unal, Stefan Bauer, Cagatay Demiralp, Ezequiel Geremia, Bjoern H. Menze, Andras Jakab, Jamie Shotton, Marcel Prastawa, Jason J. Corso, Nicolas Cordier, Syed M. S. Reza, Michael Ryan, Stephen J. Price, Danial Lashkari, Senan Doyle, Lawrence Schwartz, D. Louis Collins, Hoo-Chang Shin, Keyvan Farahani, Xiaotao Guo, Marc-Andre Weber, Nicholas Ayache, Florence Forbes, Sergio Pereira, Owen M. Thomas, Roland Wiest, Johannes Slotboom, Christopher R. Durst, Nuno Sousa, Raphael Meier, Levente Lanczi, Elizabeth Gerstner, Tilak Das, Mauricio Reyes, Koen Van Leemput, Liang Zhao, Raj Jena, Jose Antonio Mariz, Flor Vasseur, Binsheng Zhao, Thomas J. Taylor, Nigel M. John, Nicole Porz, Dong Hye Ye, Tammy Riklin Raviv, Patricia Buendia, Justin Kirby, Carlos A. Silva, The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) IEEE Transactions on Medical Imaging. ,vol. 34, pp. 1993- 2024 ,(2015) , 10.1109/TMI.2014.2377694
Geoffrey E. Hinton, Vinod Nair, Rectified Linear Units Improve Restricted Boltzmann Machines international conference on machine learning. pp. 807- 814 ,(2010)
Philipp Fischer, Thomas Brox, None, U-Net: Convolutional Networks for Biomedical Image Segmentation medical image computing and computer assisted intervention. pp. 234- 241 ,(2015) , 10.1007/978-3-319-24574-4_28
Nicholas J Tustison, Brian B Avants, Philip A Cook, Yuanjie Zheng, Alexander Egan, Paul A Yushkevich, James C Gee, N4ITK: Improved N3 Bias Correction IEEE Transactions on Medical Imaging. ,vol. 29, pp. 1310- 1320 ,(2010) , 10.1109/TMI.2010.2046908
Gloria P Mazzara, Robert P Velthuizen, James L Pearlman, Harvey M Greenberg, Henry Wagner, Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation. International Journal of Radiation Oncology Biology Physics. ,vol. 59, pp. 300- 312 ,(2004) , 10.1016/J.IJROBP.2004.01.026
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image Recognition computer vision and pattern recognition. pp. 770- 778 ,(2016) , 10.1109/CVPR.2016.90
Bjoern H. Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Cagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael Ryan, Duygu Sarikaya, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gabor Szekely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput, The Multimodal Brain TumorImage Segmentation Benchmark (BRATS) Institute of Electrical and Electronics Engineers IEEE. ,(2015) , 10.1109/TMI.2014.2377694
Kevin Gimpel, Dan Hendrycks, A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks international conference on learning representations. ,(2016)
Patrick van der Smagt, Baris Kayalibay, Grady Jensen, CNN-based Segmentation of Medical Imaging Data. arXiv: Computer Vision and Pattern Recognition. ,(2017)