Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques
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Mizuho Nishio | Shunjiro Noguchi | Kaori Togashi | Masahiro Yakami | Keita Nakagomi | K. Togashi | M. Nishio | M. Yakami | K. Nakagomi | Shunjiro Noguchi
[1] T N Hangartner,et al. Thresholding technique for accurate analysis of density and geometry in QCT, pQCT and microCT images. , 2007, Journal of musculoskeletal & neuronal interactions.
[2] Steven K Boyd,et al. Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis. , 2007, Bone.
[3] Yadong Wang,et al. Low‐rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation , 2017, Medical Image Anal..
[4] Nadia Magnenat-Thalmann,et al. Robust statistical shape models for MRI bone segmentation in presence of small field of view , 2011, Medical Image Anal..
[5] Nima Tajbakhsh,et al. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? , 2016, IEEE Transactions on Medical Imaging.
[6] M. Jorge Cardoso,et al. Improving Data Augmentation for Medical Image Segmentation , 2018 .
[7] Stephen M. Moore,et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository , 2013, Journal of Digital Imaging.
[8] Beat Schmutz,et al. Effects of CT image segmentation methods on the accuracy of long bone 3D reconstructions. , 2011, Medical engineering & physics.
[9] Youbao Tang,et al. CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation , 2018, MICCAI.
[10] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[11] Zhenwei Zhang,et al. Radiological images and machine learning: trends, perspectives, and prospects , 2019, Comput. Biol. Medicine.
[12] Klaus H. Maier-Hein,et al. Automatic bone segmentation in whole-body CT images , 2018, International Journal of Computer Assisted Radiology and Surgery.
[13] Sim Heng Ong,et al. Fast segmentation of bone in CT images using 3D adaptive thresholding , 2010, Comput. Biol. Medicine.
[14] Gábor Székely,et al. Fully automatic and fast segmentation of the femur bone from 3D-CT images with no shape prior , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[15] Wouter M. Kouw,et al. CT image segmentation of bone for medical additive manufacturing using a convolutional neural network , 2018, Comput. Biol. Medicine.
[16] J. Torner,et al. Automated cortical bone segmentation for multirow-detector CT imaging with validation and application to human studies. , 2015, Medical physics.
[17] Woei-Chyn Chu,et al. Performance measure characterization for evaluating neuroimage segmentation algorithms , 2009, NeuroImage.
[18] Takashi Matsubara,et al. RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs , 2018, ACML.
[19] Ronald M. Summers,et al. 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers , 2014, MICCAI.
[20] Yadong Wang,et al. A hierarchical local region-based sparse shape composition for liver segmentation in CT scans , 2016, Pattern Recognit..
[21] M Fiebich,et al. Automatic bone segmentation technique for CT angiographic studies. , 1999, Journal of computer assisted tomography.
[22] Hans-Peter Meinzer,et al. Statistical shape models for 3D medical image segmentation: A review , 2009, Medical Image Anal..
[23] Xiangjian He,et al. Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges , 2019, Journal of Digital Imaging.
[24] Lars Edenbrandt,et al. Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases. , 2019, European journal of radiology.
[25] Christian S. Perone,et al. Promises and limitations of deep learning for medical image segmentation , 2019, Journal of Medical Artificial Intelligence.
[26] José Antonio Pérez-Carrasco,et al. Joint segmentation of bones and muscles using an intensity and histogram-based energy minimization approach , 2018, Comput. Methods Programs Biomed..
[27] 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.
[28] Jan Wolff,et al. CT image segmentation methods for bone used in medical additive manufacturing. , 2018, Medical engineering & physics.
[29] Ronald M. Summers,et al. Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[30] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[31] Jerry L Prince,et al. Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.
[32] Yadong Wang,et al. Shape–intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images , 2016, International Journal of Computer Assisted Radiology and Surgery.
[33] Hans-Christian Hege,et al. Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model , 2008, VCBM.
[34] Punam K. Saha,et al. Robust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction , 2017, Medical Imaging.