Automated choroidal segmentation in spectral optical coherence tomography images with geographic atrophy using multimodal complementary information
暂无分享,去创建一个
[1] J. Duker,et al. Analysis of choroidal thickness in age-related macular degeneration using spectral-domain optical coherence tomography. , 2011, American journal of ophthalmology.
[2] James T. Handa,et al. AUTOMATED IMAGE ALIGNMENT AND SEGMENTATION TO FOLLOW PROGRESSION OF GEOGRAPHIC ATROPHY IN AGE-RELATED MACULAR DEGENERATION , 2014, Retina.
[3] A. Bird,et al. FUNDUS AUTOFLUORESCENCE IMAGING: Review and Perspectives , 2008, Retina.
[4] Ronald Klein,et al. Changes in visual acuity in a population over a 15-year period: the Beaver Dam Eye Study. , 2006, American journal of ophthalmology.
[5] M. Jorge Cardoso,et al. Fetal, Infant and Ophthalmic Medical Image Analysis , 2017, Lecture Notes in Computer Science.
[6] D. Chen,et al. Globally optimal segmentation of interacting surfaces with geometric constraints , 2004, CVPR 2004.
[7] Zhihong Hu,et al. Multiple layer segmentation and analysis in three-dimensional spectral-domain optical coherence tomography volume scans , 2013, Journal of biomedical optics.
[8] D. Rubin,et al. Semi-automatic geographic atrophy segmentation for SD-OCT images. , 2013, Biomedical optics express.
[9] Min Chen,et al. Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks , 2017, FIFI/OMIA@MICCAI.
[10] Paul L. Rosin,et al. Automated choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical model , 2011, Biomedical optics express.
[11] Gérard G. Medioni,et al. Multimodal Registration of Multiple Retinal Images Based on Line Structures , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[12] Peter K Kaiser,et al. Angiographic and optical coherence tomographic results of the MARINA study of ranibizumab in neovascular age-related macular degeneration. , 2007, Ophthalmology.
[13] Yalin Zheng,et al. Automated segmentation of the choroid in retinal optical coherence tomography images , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[14] J. Jonas,et al. Decreased choroidal thickness in eyes with secondary angle closure glaucoma. An aetiological factor for deep retinal changes in glaucoma? , 1993, The British journal of ophthalmology.
[15] Neeraj Sharma,et al. Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network , 2008, Journal of medical physics.
[16] Boris Povazay,et al. Choroidal thinning in diabetes type 1 detected by 3-dimensional 1060 nm optical coherence tomography. , 2012, Investigative ophthalmology & visual science.
[17] Santiago Costantino,et al. Open-source algorithm for automatic choroid segmentation of OCT volume reconstructions , 2017, Scientific Reports.
[18] Zhihong Hu,et al. Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images. , 2013, Investigative ophthalmology & visual science.
[19] C. J. Blair,et al. Geographic atrophy of the retinal pigment epithelium. A manifestation of senile macular degeneration. , 1975, Archives of ophthalmology.
[20] Sina Farsiu,et al. Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images. , 2012, Investigative ophthalmology & visual science.
[21] Wolfgang Drexler,et al. State-of-the-art retinal optical coherence tomography , 2008, Progress in Retinal and Eye Research.
[22] Se Woong Kang,et al. Choroidal thickness in polypoidal choroidal vasculopathy and exudative age-related macular degeneration. , 2011, Ophthalmology.
[23] J. Slakter,et al. Enhanced depth imaging optical coherence tomography of the choroid in highly myopic eyes. , 2009, American journal of ophthalmology.
[24] Josh Wallman,et al. The multifunctional choroid , 2010, Progress in Retinal and Eye Research.
[25] Milan Sonka,et al. Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT. , 2015, Investigative ophthalmology & visual science.
[26] Sunil Arya,et al. An optimal algorithm for approximate nearest neighbor searching fixed dimensions , 1998, JACM.
[27] Srinivas R Sadda,et al. Spatial distribution of posterior pole choroidal thickness by spectral domain optical coherence tomography. , 2011, Investigative ophthalmology & visual science.
[28] M. Larsen,et al. Enhanced optical coherence tomography imaging by multiple scan averaging , 2005, British Journal of Ophthalmology.
[29] R. Spaide,et al. Subfoveal choroidal thickness after treatment of central serous chorioretinopathy. , 2010, Ophthalmology.
[30] Zhihong Hu,et al. Automated segmentation of geographic atrophy in fundus autofluorescence images using supervised pixel classification , 2015, Journal of medical imaging.
[31] Xiaodong Wu,et al. Semiautomated segmentation of the choroid in spectral-domain optical coherence tomography volume scans. , 2013, Investigative Ophthalmology and Visual Science.
[32] Glenn J Jaffe,et al. Semiautomated image processing method for identification and quantification of geographic atrophy in age-related macular degeneration. , 2011, Investigative ophthalmology & visual science.
[33] Richard F. Spaide,et al. SUBFOVEAL CHOROIDAL THICKNESS AFTER TREATMENT OF VOGT–KOYANAGI–HARADA DISEASE , 2011, Retina.
[34] Lelia Adelina Paunescu,et al. Tracking optical coherence tomography. , 2004, Optics letters.
[35] Ruikang K. Wang,et al. Automated choroidal segmentation method in human eye with 1050nm optical coherence tomography , 2014, Photonics West - Biomedical Optics.