A computer-aided healthcare system for cataract classification and grading based on fundus image analysis
Tài liệu tham khảo
Mathers, 2008
Abramoff, 2010, Retinal imaging and image analysis, IEEE Reviews in Biomedical Engineering, 3, 169, 10.1109/RBME.2010.2084567
Keeler, 1997, 150 years since Babbage's ophthalmoscope, Archives of Ophthalmology, 1997, 1456, 10.1001/archopht.1997.01100160626017
Flick, 1947, Centenary of Babbage's ophthalmoscope, The Optician, 113, 246
Gullstrand, 1910, Neue methoden der reflexlosen ophthalmoskopie, Berichte Deutsche Ophthalmologische Gesellschaft, 36
Allen, 2006, Cataract and surgery for cataract, British Medical Journal, 333, 128, 10.1136/bmj.333.7559.128
Chylack, 1993, The lens opacities classification system III, Archives of Ophthalmology, 111, 1506, 10.1001/archopht.1993.01090060119035
Abramoff, 2005, Automatic detection of red lesions in digital color fundus photographs, IEEE Transactions on Medical Imaging, 24, 584, 10.1109/TMI.2005.843738
Kande, 2010, Automatic detection of microaneurysms and hemorrhages in digital fundus images, Journal of Digital Imaging, 23, 430, 10.1007/s10278-009-9246-0
Niemeijer, 2010, Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs, IEEE Transactions on Medical Imaging, 29, 185, 10.1109/TMI.2009.2033909
Chaudhuri, 1989, Detection of blood vessels in retinal images using two-dimensional matched filters, IEEE Transactions on Medical Imaging, 8, 263, 10.1109/42.34715
Soares, 2006, Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification, IEEE Transactions on Medical Imaging, 25, 1214, 10.1109/TMI.2006.879967
Gang, 2002, Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter, IEEE Transactions on Medical Imaging, 19, 168
Lowell, 2004, Measurement of retinal vessel widths from fundus images based on 2-D modeling, IEEE Transactions on Medical Imaging, 23, 1196, 10.1109/TMI.2004.830524
Abramoff, 2004, Image processing with ImageJ, Biophotonics International, 11, 36
Staal, 2004, Ridge-based vessel segmentation in color images of the retina, IEEE Transactions on Medical Imaging, 23, 501, 10.1109/TMI.2004.825627
Ricci, 2007, Retinal blood vessel segmentation using line operators and support vector classification, IEEE Transaction on Medical Imaging, 26, 1357, 10.1109/TMI.2007.898551
Sinthanayothin, 1999, Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images, British Journal of Ophthalmology, 83, 902, 10.1136/bjo.83.8.902
Abdel-Razik Youssif, 2008, Optic disc detection from normalized digital fundus images by means of a vessels’ direction matched filter, IEEE Transactions on Medical Imaging, 27, 11, 10.1109/TMI.2007.900326
Walter, 2001, Segmentation of color fundus images of the human retina: detection of the optic disc and the vascular tree using morphological techniques, 282
Muramatsu, 2011, Automated segmentation of optic disc region on retinal fundus photographs: comparison of contour modeling and pixel classification methods, Computer Methods and Programs in Biomedicine, 101, 23, 10.1016/j.cmpb.2010.04.006
Iba, 1999, Bayesian detection of the fovea in eye fundus angiographies, Pattern Recognition Letters, 20, 229, 10.1016/S0167-8655(98)00137-8
Niemeijer, 2009, Fast detection of the optic disc and fovea in color fundus photographs, Medical Image Analysis, 13, 859, 10.1016/j.media.2009.08.003
Faust, 2012, Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review, Journal of Medical Systems, 36, 145, 10.1007/s10916-010-9454-7
Winder, 2009, Algorithms for digital image processing in diabetic retinopathy, Computerized Medical Imaging and Graphics, 33, 608, 10.1016/j.compmedimag.2009.06.003
Sinthanayothin, 2002, Automated detection of diabetic retinopathy on digital fundus images, Diabetic Medicine, 19, 105, 10.1046/j.1464-5491.2002.00613.x
Usher, 2004, Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening, Diabetic Medicine, 21, 84, 10.1046/j.1464-5491.2003.01085.x
Gardner, 1996, Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool, British Journal of Ophthalmology, 80, 940, 10.1136/bjo.80.11.940
Abramoff, 2008, Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes, Diabetes Care, 31, 193, 10.2337/dc07-1312
Kankanahalli, 2013, Automated classification of severity of age-related macular degeneration from fundus photographs, Investigative Ophthalmology & Visual Science, 54, 1789, 10.1167/iovs.12-10928
Nayak, 2009, Automated diagnosis of glaucoma using digital fundus images, Journal of Medical Systems, 33, 337, 10.1007/s10916-008-9195-z
Chrastek, 2005, Automated segmentation of the optic nerve head for diagnosis of glaucoma, Medical Image Analysis, 9, 297, 10.1016/j.media.2004.12.004
Bock, 2010, Glaucoma risk index: automated glaucoma detection from color fundus images, Medical Image Analysis, 14, 471, 10.1016/j.media.2009.12.006
Acharya, 2011, Automated diagnosis of glaucoma using texture and higher order spectra features, IEEE Transactions on Information Technology in Biomedicine, 15, 449, 10.1109/TITB.2011.2119322
Willikens, 2013, Retinal arterio-venule-ratio (AVR) in the cardiovascular risk management of hypertension, European Heart Journal, 34, P5002, 10.1093/eurheartj/eht310.P5002
Li, 2010, A computer-aided diagnosis system of nuclear cataract, IEEE Transactions on Biomedical Engineering, 57, 1690, 10.1109/TBME.2010.2041454
Fan, 2003, An automatic system for classification of nuclear sclerosis from slit-lamp photographs, 592
Li, 2008, Image based grading of nuclear cataract by SVM regression, SPIE Proceeding of Medical Imaging, 6915, 691536
Li, 2007, Towards automatic grading of nuclear cataract, 4961
Li, 2008, Image based diagnosis of cortical cataract, 3904
Li, 2010, Automatic detection of posterior subcapsular cataract opacity for cataract screening, 5359
Gao, 2012, Automatic grading of cortical and PSC cataracts using retroillumination lens images, 256
Guo, 2013, Digital ophthalmology regional collaboration medical service mode, China Digital Medicine, 8, 68
Oloumi, 2007, Detection of blood vessels in fundus images of the retina using Gabor wavelets, 6451
Cornforth, 2004, Development of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy, 50
Leandro, 2003, Blood vessels segmentation in nonmydriatic images using wavelets and statistical classifiers, 262
Cesar, 2003, Segmentation of retinal fundus vasculature in nonmydriatic camera images using wavelets, Angiography and Plaque Imaging: Advanced Segmentation Techniques, 193
Leandro, 2001, Blood vessels segmentation in retina: preliminary assessment of the mathematical morphology and of the wavelet transform techniques, 84
Cherkauer, 1996, Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks, 15
Li, 2006, Using discriminant analysis for multi-class classification: an experimental investigation, Knowledge and Information Systems, 10, 453, 10.1007/s10115-006-0013-y
Li, 2013, A top-down approach for approximate data anonymisation, Enterprise Information Systems, 7, 272, 10.1080/17517575.2012.688223
Benjamin Fung, 2010, Privacy-preserving data publishing: a survey on recent developments, ACM Computing Surveys, 42
Hochhalter, 2010, Making the most of your healthcare intervention for older adults with multiple chronic illnesses, Patient Education and Counseling, 81, 207, 10.1016/j.pec.2010.01.018
Li, 2013, Large scale sequential learning from partially labeled data, 176
Fujimaki, 2012, Factorized asymptotic Bayesian inference for mixture modeling, 400
Yang, 2013, Classification of retinal image for automatic cataract detection, 674
Yang, 2014, A hybrid solution for medical data sharing in the cloud environment, Future Generation Computer System