Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans
Tài liệu tham khảo
Abràmoff, 2005, Web-based screening for diabetic retinopathy in a primary care population: the EyeCheck project, Telemedicine and e-Health, 11, 668, 10.1089/tmj.2005.11.668
Abràmoff, 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
Bjornsson, 2008, Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissue, Journal of Neuroscience Methods, 170, 165, 10.1016/j.jneumeth.2007.12.024
Box, 1964, An analysis of transformations, Journal of the Royal Statistical Society, Series B, 26, 211
Bresnick, 2000, A screening approach to the surveillance of patients with diabetes for the presence of vision-threatening retinopathy, Opthalmology, 107, 19, 10.1016/S0161-6420(99)00010-X
Bunch, 1978, A free response approach to the measurement and characterization of radiographic-observer performance, Journal of Applied Photographic Engineering, 4, 166
Chakraborty, 2006, Analysis of location specific observer performance data: validated extensions of the jackknife free-response (JAFROC) method, Academic Radiology, 13, 1187, 10.1016/j.acra.2006.06.016
Cover, 1967, Nearest neighbor pattern classification, IEEE Transactions on Information Theory, 13, 21, 10.1109/TIT.1967.1053964
Doi, 2007, Computer-aided diagnosis in medical imaging: historical review, current status and future potential, Computerized Medical Imaging and Graphics: The Official Journal of the Computerized Medical Imaging Society, 31, 198, 10.1016/j.compmedimag.2007.02.002
Duda, 2001
Early Treatment Diabetic Retinopathy Study Research Group. Early photocoagulation for diabetic retinopathy: ETDRS report 9. Ophthalmology 98 (1991) 766–785.
Fleming, 2007, Automated detection of exudates for diabetic retinopathy screening, Physics in Medicine and Biology, 52, 7385, 10.1088/0031-9155/52/24/012
Hupse, 2009, Use of normal tissue context in computer-aided detection of masses in mammograms, IEEE Transactions on Medical Imaging, 28, 2033, 10.1109/TMI.2009.2028611
Išgum, 2007, Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease, Medical Physics, 34, 1450, 10.1118/1.2710548
Jain, 2000, Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 4, 10.1109/34.824819
Kinyoun, 1989, Detection of diabetic macular edema. Ophthalmoscopy versus photography – early treatment diabetic retinopathy study report number 5. The ETDRS Research Group, Ophthalmology, 96, 746, 10.1016/S0161-6420(89)32814-4
Leemput, 1999, Automated model-based tissue classification of MR images of the brain, IEEE Transactions on Medical Imaging, 18, 897, 10.1109/42.811270
Li, 2001, Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique, Medical Physics, 28, 2070, 10.1118/1.1406517
Liu, 2009, Prostate cancer segmentation with simultaneous estimation of markov random field parameters and class, IEEE Transactions on Medical Imaging, 28, 906, 10.1109/TMI.2009.2012888
Metz, 1986, ROC methodology in radiologic imaging, Investigative Radiology, 21, 720, 10.1097/00004424-198609000-00009
Niemeijer, 2004, Comparative study of retinal vessel segmentation methods on a new publicly available database, Proceedings of the SPIE Medical Imaging, 5370, 648, 10.1117/12.535349
Niemeijer, 2005, Automatic detection of red lesions in digital color fundus photographs, IEEE Transactions on Medical Imaging, 24, 584, 10.1109/TMI.2005.843738
Niemeijer, 2007, Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis, Investigative Ophthalmology & Visual Science, 48, 2260, 10.1167/iovs.06-0996
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
Pudil, 1994, Floating search methods in feature selection, Pattern Recognition Letters, 15, 1119, 10.1016/0167-8655(94)90127-9
Schölkopf, 2002
Scotland, 2007, Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland, British Journal of Ophthalmology, 91, 1518, 10.1136/bjo.2007.120972
Shemesh, 2005, Coronary artery calcium measurement with multi-detector row CT and low radiation dose: comparison between 55 and 165mAs, Radiology, 236, 810, 10.1148/radiol.2363040039
van Ginneken, 2001, Computer-aided diagnosis in chest radiography: a survey, IEEE Transactions on Medical Imaging, 20, 1228, 10.1109/42.974918
Viera, 2005, Understanding interobserver agreement: the kappa statistic, Family Medicine, 37, 360
Wolf, 2006, A critical view of context, International Journal of Computer Vision, 69, 251, 10.1007/s11263-006-7538-0
Zhu, 2006, Computer technology in detection and staging of prostate carcinoma: a review, Medical Image Analysis, 10, 178, 10.1016/j.media.2005.06.003