Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index - Acharya, U. Rajendra; Mookiah, Muthu Rama Krishnan; Koh, Joel E.W.; Tan, Jen Hong; Bhandary, Sulatha V.; Rao, A. Krishna; Hagiwara, Yuki; Chua, Chua Kuang; Laude, Augustinus (Computers in biology and medicine, 2017)
Keywords: Accuracy; Adult; Aged; Algorithms; Angiography; Arrhythmia; Artificial neural networks; Automation; Benign; Blindness; Blood vessels; Cardiovascular disease; Classification; Color vision; Coronary artery; Coronary artery disease; Cotton; Data processing; Death; Decision support system; Diabetes; Diabetic macular edema; Diabetic retinopathy; Diabetic Retinopathy - diagnostic imaging; Diagnosis; Discrete cosine transform; Discrete wavelet transform; Discriminant Analysis; Economic analysis; Edema; Entropy; Evaluation; Eye; Female; Fluid filters; Fundus imaging; Fundus Oculi; Fuzzy systems; Ground truth; Heart diseases; Heart rate; Humans; Identification; Image Interpretation, Computer-Assisted - methods; Image processing; Image retrieval; Internal Medicine; Liver diseases; Locality sensitive discriminant analysis; Macular Edema - diagnostic imaging; Male; Medical imaging; Methods; Middle Aged; Morphology; Neural networks; Organs; Other; Photography; Position (location); Probability theory; Quality; Radon transform; Radon transformation; Ranking; Retina; Statistical analysis; Triangulation; Ultrasonic imaging; Ultrasound; Wavelet Analysis; Wavelet transforms; Workloads; Discrete wavelet transform; Decision support system; Diabetic macular edema; Fundus imaging; Radon transform; Locality sensitive discriminant analysis; Discrete cosine transform