Intraretinal fluid identification via enhanced maps using optical coherence tomography images.
暂无分享,去创建一个
Marcos Ortega | Jorge Novo | M. G. Penedo | Plácido L Vidal | Joaquim de Moura | Manuel G Penedo | M. Ortega | J. Novo | J. de Moura | P. Vidal
[1] Fahima Nekka,et al. The modified box-counting method: Analysis of some characteristic parameters , 1998, Pattern Recognit..
[2] Amy L. Oldenburg,et al. Automated Segmentation of Intraretinal Cystoid Fluid in Optical Coherence Tomography , 2012, IEEE Transactions on Biomedical Engineering.
[3] Liang Liu,et al. Automated volumetric segmentation of retinal fluid on optical coherence tomography. , 2016, Biomedical optics express.
[4] Omar S. Al-Kadi,et al. Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images , 2008, IEEE Transactions on Biomedical Engineering.
[5] Saman A. Zonouz,et al. CloudID: Trustworthy cloud-based and cross-enterprise biometric identification , 2015, Expert Syst. Appl..
[6] Xinjian Chen,et al. Three-Dimensional Segmentation of Fluid-Associated Abnormalities in Retinal OCT: Probability Constrained Graph-Search-Graph-Cut , 2012, IEEE Transactions on Medical Imaging.
[7] Hyunjin Park,et al. Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging , 2018, IEEE Transactions on Biomedical Engineering.
[8] Jeny Rajan,et al. Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform , 2016, EMBC.
[9] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[10] Miguel J Maldonado,et al. Retinal thickness study with optical coherence tomography in patients with diabetes. , 2002, Investigative ophthalmology & visual science.
[11] Thomas Theelen,et al. Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography. , 2018, Biomedical optics express.
[12] R. Klein,et al. Retinal arteriolar narrowing and risk of coronary heart disease in men and women. The Atherosclerosis Risk in Communities Study. , 2002, JAMA.
[13] Keshab K. Parhi,et al. Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms , 2018, IEEE Transactions on Biomedical Engineering.
[14] Nassir Navab,et al. ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network , 2017, Biomedical optics express.
[15] Bianca S. Gerendas,et al. Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context. , 2017, Biomedical optics express.
[16] Gordon T Plant,et al. Optical coherence tomography of the retina: applications in neurology , 2010, Current opinion in neurology.
[17] J. Fujimoto,et al. Optical coherence tomography of the human retina. , 1995, Archives of ophthalmology.
[18] J. Fujimoto,et al. Optical Coherence Tomography , 1991 .
[19] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[20] Behzad Nazari,et al. Fully-automated segmentation of fluid regions in exudative age-related macular degeneration subjects: Kernel graph cut in neutrosophic domain , 2017, PloS one.
[21] Joseph A. Izatt,et al. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation , 2010, Optics express.
[22] Tao Wang,et al. Label propagation and higher-order constraint-based segmentation of fluid-associated regions in retinal SD-OCT images , 2016, Inf. Sci..
[23] Antonio Pose-Reino,et al. Computerized measurement of retinal blood vessel calibre: description, validation and use to determine the influence of ageing and hypertension , 2005, Journal of hypertension.
[24] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[26] Luis de Sisternes,et al. Automated intraretinal segmentation of SD-OCT images in normal and age-related macular degeneration eyes. , 2017, Biomedical optics express.
[27] Saurabh Pal,et al. Automatic segmentation of accumulated fluid inside the retinal layers from optical coherence tomography images , 2017 .
[28] Hossein Rabbani,et al. Three-dimensional Segmentation of Retinal Cysts from Spectral-domain Optical Coherence Tomography Images by the Use of Three-dimensional Curvelet Based K-SVD , 2016, Journal of medical signals and sensors.
[29] Sina Farsiu,et al. Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. , 2015, Biomedical optics express.
[30] Jayanthi Sivaswamy,et al. Segmentation of Retinal Cysts From Optical Coherence Tomography Volumes Via Selective Enhancement , 2017, IEEE Journal of Biomedical and Health Informatics.
[31] 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.
[32] Tien Yin Wong,et al. Relationship of Retinal Vascular Caliber With Diabetes and Retinopathy , 2008, Diabetes Care.
[33] Keshab K. Parhi,et al. Automated localization of cysts in diabetic macular edema using optical coherence tomography images , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[34] Yue Wu,et al. Deep-Learning Based, Automated Segmentation of Macular Edema in Optical Coherence Tomography , 2017, bioRxiv.
[35] Bianca S. Gerendas,et al. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning. , 2017, Ophthalmology.
[36] Eliza M. Gordon-Lipkin,et al. Retinal nerve fiber layer is associated with brain atrophy in multiple sclerosis , 2007, Neurology.
[37] King-Sun Fu,et al. Error estimation in pattern recognition via LAlpha -distance between posterior density functions , 1976, IEEE Trans. Inf. Theory.
[38] Sohini Roy Chowdhury,et al. Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model , 2019, IEEE Journal of Biomedical and Health Informatics.
[39] Jeny Rajan,et al. A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans , 2018, Comput. Methods Programs Biomed..
[40] Omid Sarrafzadeh,et al. iBridge Berlin 2015, City Cube Convention Center, Berlin, Germany, 4–6 June 2015 , 2016, Journal of Medical Signals and Sensors.