Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization
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Xinjian Chen | Weifang Zhu | Fei Shi | Dehui Xiang | Haoyu Chen | Xiaoling Yang | Haihong Tian | Dehui Xiang | Weifang Zhu | Fei Shi | Xinjian Chen | H. Chen | Haihong Tian | Xiaoling Yang
[1] Kawal S. Rhode,et al. CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN , 2017, MICCAI.
[2] Milan Sonka,et al. Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data , 2015, IEEE Transactions on Medical Imaging.
[3] Xinjian Chen,et al. CORRELATION OF OPTICAL INTENSITY ON OPTICAL COHERENCE TOMOGRAPHY AND VISUAL OUTCOME IN CENTRAL RETINAL ARTERY OCCLUSION , 2016, Retina.
[4] Qi Yang,et al. Automated layer segmentation of macular OCT images using dual-scale gradient information. , 2010, Optics express.
[5] Jelena Novosel,et al. Locally-adaptive loosely-coupled level sets for retinal layer and fluid segmentation in subjects with central serous retinopathy , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
[6] Nassir Navab,et al. ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network , 2017, Biomedical optics express.
[7] Xiaodong Wu,et al. Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search , 2008, IEEE Transactions on Medical Imaging.
[8] Taimur Hassan,et al. Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images. , 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.
[9] Xinjian Chen,et al. Automatic Retinal Layer Segmentation of OCT Images With Central Serous Retinopathy , 2019, IEEE Journal of Biomedical and Health Informatics.
[10] R. Klein,et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. , 2014, The Lancet. Global health.
[11] Max A. Viergever,et al. Vessel enhancing diffusion: A scale space representation of vessel structures , 2006, Medical Image Anal..
[12] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[13] Ruikang K. Wang,et al. Automated Quantitation of Choroidal Neovascularization: A Comparison Study Between Spectral-Domain and Swept-Source OCT Angiograms , 2017, Investigative ophthalmology & visual science.
[14] Xiaodong Wu,et al. Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images , 2009, IEEE Transactions on Medical Imaging.
[15] K. A. Vermeer,et al. Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images , 2011, Biomedical optics express.
[16] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Milan Sonka,et al. Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT. , 2012, Investigative ophthalmology & visual science.
[18] Xinjian Chen,et al. Comparison of Retinal Thickness Measurements between the Topcon Algorithm and a Graph-Based Algorithm in Normal and Glaucoma Eyes , 2015, PloS one.
[19] Jerry L Prince,et al. Retinal layer segmentation of macular OCT images using boundary classification , 2013, Biomedical optics express.
[20] Bram van Ginneken,et al. Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images , 2016, IEEE Transactions on Medical Imaging.
[21] Xiaodong Wu,et al. Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Milan Sonka,et al. Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map , 2012, Medical Image Anal..
[23] Junjie Bai,et al. Optimal Multiple Surface Segmentation With Shape and Context Priors , 2013, IEEE Transactions on Medical Imaging.
[24] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] José Manuel Bravo,et al. A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features , 2011, IEEE Transactions on Medical Imaging.
[26] Jack Sklansky,et al. Finding the convex hull of a simple polygon , 1982, Pattern Recognit. Lett..
[27] Xinjian Chen,et al. CorteXpert: A model‐based method for automatic renal cortex segmentation , 2017, Medical Image Anal..
[28] Pascal A. Dufour,et al. Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints , 2013, IEEE Transactions on Medical Imaging.
[29] Shijian Lu,et al. Automated layer segmentation of optical coherence tomography images , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.
[30] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[31] Xinjian Chen,et al. Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments , 2015, IEEE Transactions on Medical Imaging.
[32] Chong Wang,et al. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. , 2017, Biomedical optics express.
[33] Jelena Novosel,et al. Loosely coupled level sets for simultaneous 3D retinal layer segmentation in optical coherence tomography , 2015, Medical Image Anal..
[34] Gábor Márk Somfai,et al. Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region , 2015, PloS one.
[35] Tianfu Wang,et al. A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images , 2016, IEEE Transactions on Medical Imaging.
[36] Yoshua Bengio,et al. Generative Adversarial Networks , 2014, ArXiv.