Segmentation of the foveal microvasculature using deep learning networks
暂无分享,去创建一个
Sven Loncaric | Mirza Faisal Beg | Morgan Heisler | Sieun Lee | Pavle Prentašic | Zaid Mammo | Andrew Merkur | Eduardo Navajas | Marinko Šarunic | S. Lončarić | M. Beg | M. Sarunic | A. Merkur | Sieun Lee | E. Navajas | P. Prentasic | M. Heisler | Zaid N Mammo | Sven Lončarić
[1] Ting Liu,et al. Segmentation and quantification of blood vessels for OCT-based micro-angiograms using hybrid shape/intensity compounding. , 2015, Microvascular research.
[2] Luca Maria Gambardella,et al. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images , 2012, NIPS.
[3] Francis K. H. Quek,et al. A review of vessel extraction techniques and algorithms , 2004, CSUR.
[4] R S Sobel,et al. Fluorescein angiography complication survey. , 1986, Ophthalmology.
[5] Luca Maria Gambardella,et al. Convolutional Neural Network Committees for Handwritten Character Classification , 2011, 2011 International Conference on Document Analysis and Recognition.
[6] Paula K. Yu,et al. Label-Free Density Measurements of Radial Peripapillary Capillaries in the Human Retina , 2015, PloS one.
[7] Ruikang K. Wang,et al. Methods and algorithms for optical coherence tomography-based angiography: a review and comparison , 2015, Journal of biomedical optics.
[8] Mohammad Sultan Mahmud,et al. Review of speckle and phase variance optical coherence tomography to visualize microvascular networks , 2013, Journal of biomedical optics.
[9] Brian Kingsbury,et al. New types of deep neural network learning for speech recognition and related applications: an overview , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[10] Qienyuan Zhou,et al. RETINAL VASCULAR PERFUSION DENSITY MAPPING USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NORMALS AND DIABETIC RETINOPATHY PATIENTS , 2015, Retina.
[11] Michelle Cua,et al. Retinal angiography with real-time speckle variance optical coherence tomography , 2015, British Journal of Ophthalmology.
[12] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[13] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[14] Mona Kathryn Garvin,et al. Multimodal Retinal Vessel Segmentation From Spectral-Domain Optical Coherence Tomography and Fundus Photography , 2012, IEEE Transactions on Medical Imaging.
[15] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[16] Dao-Yi Yu,et al. Quantitative Comparison of Retinal Capillary Images Derived By Speckle Variance Optical Coherence Tomography With Histology. , 2015, Investigative ophthalmology & visual science.
[17] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[18] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Marinko V Sarunic,et al. Quantitative Noninvasive Angiography of the Fovea Centralis Using Speckle Variance Optical Coherence Tomography. , 2015, Investigative ophthalmology & visual science.
[20] Cícero Nogueira dos Santos,et al. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts , 2014, COLING.
[21] Marinko V Sarunic,et al. In vivo optical imaging of human retinal capillary networks using speckle variance optical coherence tomography with quantitative clinico-histological correlation. , 2015, Microvascular research.
[22] Seiyo Harino,et al. Relationship of macular microcirculation and retinal thickness with visual acuity in diabetic macular edema. , 2007, Ophthalmology.
[23] Dao-Yi Yu,et al. Quantitative morphometry of perifoveal capillary networks in the human retina. , 2012, Investigative ophthalmology & visual science.
[24] David Huang,et al. Automated Quantification of Capillary Nonperfusion Using Optical Coherence Tomography Angiography in Diabetic Retinopathy. , 2016, JAMA ophthalmology.
[25] Dao-Yi Yu,et al. Correlation of histologic and clinical images to determine the diagnostic value of fluorescein angiography for studying retinal capillary detail. , 2010, Investigative ophthalmology & visual science.
[26] Kevin Wong,et al. Real-time acquisition and display of flow contrast using speckle variance optical coherence tomography in a graphics processing unit , 2014, Journal of biomedical optics.
[27] J. F. Cullen. Retinal Vascular Disease , 1968, Scottish medical journal.