Deep Neural Network-Based Semantic Segmentation of Microvascular Decompression Images
暂无分享,去创建一个
[1] Mark Fisher,et al. Retinal vessel segmentation using multi-scale textons derived from keypoints , 2015, Comput. Medical Imaging Graph..
[2] Yun Tian,et al. An Active Contour Model Based on Adaptive Threshold for Extraction of Cerebral Vascular Structures , 2016, Comput. Math. Methods Medicine.
[3] Joseph F. Murray,et al. Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation , 2010, Neural Computation.
[4] Gabriela Csurka,et al. An Efficient Approach to Semantic Segmentation , 2011, International Journal of Computer Vision.
[5] Ronald M. Summers,et al. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation , 2015, MICCAI.
[6] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Ke Chen,et al. Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images , 2015, IEEE Transactions on Medical Imaging.
[8] Paul Y. S. Cheung,et al. Vessel Extraction Under Non-Uniform Illumination: A Level Set Approach , 2008, IEEE Transactions on Biomedical Engineering.
[9] Carlos Fernandez-Lozano,et al. Automatic multiscale vascular image segmentation algorithm for coronary angiography , 2018, Biomed. Signal Process. Control..
[10] Nils Daniel Forkert,et al. Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network , 2017, CVII-STENT/LABELS@MICCAI.
[11] Zengchang Qin,et al. Automated coronary artery tree segmentation in X-ray angiography using improved Hessian based enhancement and statistical region merging. , 2018, Computer methods and programs in biomedicine.
[12] Zhen Chen,et al. Morphological Multiscale Enhancement, Fuzzy Filter and Watershed for Vascular Tree Extraction in Angiogram , 2011, Journal of Medical Systems.
[13] 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.
[14] András Hajdu,et al. Segmentation of retinal vessels by means of directional response vector similarity and region growing , 2015, Comput. Biol. Medicine.
[15] Saeed Sadri,et al. Segmentation of Coronary Vessels by Combining the Detection of Centerlines and Active Contour Model , 2011, 2011 7th Iranian Conference on Machine Vision and Image Processing.
[16] Mohammad H. Jafari,et al. Vessel extraction in X-ray angiograms using deep learning , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[17] Shin Ishii,et al. Deep learning of fMRI big data: a novel approach to subject-transfer decoding , 2015, ArXiv.
[18] Yu Liu,et al. A review of semantic segmentation using deep neural networks , 2017, International Journal of Multimedia Information Retrieval.
[19] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Tuan-Tu Huynh,et al. A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification , 2020, International journal of molecular sciences.
[21] John D. Kelleher,et al. A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease , 2019, Front. Neurosci..
[22] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Xinbo Gao,et al. Lightweight Image Super-Resolution with Information Multi-distillation Network , 2019, ACM Multimedia.
[24] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[26] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[28] S Nirmala Devi,et al. Comparison of active contour models for image segmentation in X-ray coronary angiogram images , 2008, Journal of medical engineering & technology.
[29] Sang Jun Park,et al. Scale-space approximated convolutional neural networks for retinal vessel segmentation , 2019, Comput. Methods Programs Biomed..
[30] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[31] A. Osareh,et al. Vessel Segmentation in Retinal Images Using Multi-scale Line Operator and K-Means Clustering , 2014, Journal of medical signals and sensors.
[32] Xiaoyi Jiang,et al. A self-adaptive matched filter for retinal blood vessel detection , 2014, Machine Vision and Applications.
[33] Rajeev Srivastava,et al. Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter , 2016, Comput. Methods Programs Biomed..
[34] Vince D. Calhoun,et al. Deep learning for neuroimaging: a validation study , 2013, Front. Neurosci..
[35] Taein Lee. Active contour models , 2005 .
[36] David Menotti,et al. A Semi-Automatic Method for Segmentation of the Coronary Artery Tree from Angiography , 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.
[37] Yi Wang,et al. Retinal blood vessel segmentation using fully convolutional network with transfer learning , 2018, Comput. Medical Imaging Graph..
[38] Xinbo Gao,et al. Fast and Accurate Single Image Super-Resolution via Information Distillation Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[39] Trang T. Le,et al. Using deep neural networks and biological subwords to detect protein S-sulfenylation sites , 2020, Briefings Bioinform..
[40] Su-Lin Lee,et al. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis , 2017, Lecture Notes in Computer Science.
[41] Keshab K. Parhi,et al. Iterative Vessel Segmentation of Fundus Images , 2015, IEEE Transactions on Biomedical Engineering.
[42] Elli Angelopoulou,et al. Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database , 2013, IET Image Process..
[43] Yizhou Yu,et al. FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation , 2019, ArXiv.
[44] Jun Fu,et al. Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[45] J.J. Bellanger,et al. A Level Set Method for Vessel Segmentation in Coronary Angiography , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[46] Kotagiri Ramamohanarao,et al. An effective retinal blood vessel segmentation method using multi-scale line detection , 2013, Pattern Recognit..
[47] Xiaogang Wang,et al. Medical image classification with convolutional neural network , 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).
[48] Lei Zhang,et al. Multi-level deep supervised networks for retinal vessel segmentation , 2017, International Journal of Computer Assisted Radiology and Surgery.
[49] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Jie Liu,et al. Residual Feature Distillation Network for Lightweight Image Super-Resolution , 2020, ECCV Workshops.
[51] Tariq Mahmood Khan,et al. A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation , 2019, Sensors.
[52] Vivienne Sze,et al. Efficient Processing of Deep Neural Networks: A Tutorial and Survey , 2017, Proceedings of the IEEE.
[53] Yongtian Wang,et al. Saliency driven vasculature segmentation with infinite perimeter active contour model , 2017, Neurocomputing.
[54] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[55] Beizhan Wang,et al. 3D vasculature segmentation using localized hybrid level-set method , 2014, BioMedical Engineering OnLine.
[56] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[58] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[59] V. Goh,et al. Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks , 2015, PloS one.
[60] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[61] Wang Yongtian,et al. Automatic segmentation of coronary angiograms based on fuzzy inferring and probabilistic tracking , 2010, Biomedical engineering online.