"Retinal vasculature enhancement using independent component analysis"
written by Ahmad Fadzil M. Hani, Hanung Adi Nugroho,
published by Journal of Biomedical Science and Engineering, Vol.2 No.7, 2009
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Laura Juliana Uribe Valencia
2020
[2] NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
2020
[3] Performance of Image Enhancement Methods for Diabetic Retinopathy based on Retinal Fundus Image
2020
[4] Information System for Early Diabetic Retinopathy Diagnostics Based on Multiscale Texture Gradient Method
2020
[5] Automatic detection of diabetic related retina disease in fundus color images
2020
[6] Noise identification and removal by using higher order statistics and ICA Transformation for satellite images
2019
[7] Color retinal image enhancement using luminosity and quantile based contrast enhancement
2019
[8] Image Enhancement using NHSI Model Employed in Color Retinal Images
International Journal of Engineering Trends and Technology (IJETT), 2018
[9] Colour retinal images enhancement using modified histogram equalisation methods and firefly algorithm
International Journal of Biomedical Engineering and Technology, 2018
[10] Diagnosticul retinopatiei diabetice, bazat pe analiza comparativă a depigmentării zonei maculare: studiu experimental
2017
[11] Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment
2017
[12] Detection of Exudates in Digital Fundus Image for Diabetic Retinopathy
International Journal & Magazine of Engineering, Technology, Management and Research, 2015
[13] Diabetic Retinopathy Detection Using Enhance Digital fundus Images
International Journal of Research in Advent Technology, 2015
[14] ПАТОГЕНЕТИЧНЕ ОБҐРУНТУВАННЯ МЕТОДІВ АКТИВАЦІЇ СТРУКТУР ГОЛОВНОГО МОЗКУ В КОМПЛЕКСНОМУ ЛІКУВАННІ ДІАБЕТИЧНОЇ РЕТИНОПАТІЇ
2015
[15] Implementation of Diabetic Retinopathy Detection System for Enhance Digital Fundus Images
2015
[16] Retinal vessel enhancement based on multi-scale top-hat transformation and histogram fitting stretching
Optics & Laser Technology, 2014
[17] Methods to enhance digital fundus image for diabetic retinopathy detection
Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on. IEEE, 2014
[18] Application of the method of multiscale textural gradient for automatization of diabetesretinopathy diagnosis via analysis of digital images of the eye fundus
2014
[19] Применение метода многомасштабного текстурного градиента в автоматизации диагностики диабетической ретинопатии по цифровым снимкам глазного …
2014
[20] Применение метода многомасштабного текстурного градиента в автоматизации диагностики диабетической ретинопатии по цифровым снимкам …
2014
[21] Feature selection and classification approaches for biometric and biomedical applications
2014
[22] Joint a Retinex-based variational model and CLAHE-in-CIELUV for enhancement
2013
[23] 一种新的视网膜血管图像增强方法
光电子. 激光, 2012
[24] Modern optical methods for retinal imaging
Dissertations in Forestry and Natural Sciences, 2012
[25] Analysis of retinal fundus images for grading of diabetic retinopathy severity
Medical & biological engineering & computing, 2011
[26] Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010
[27] Determination of foveal avascular zone in diabetic retinopathy digital fundus images
Computers in biology and medicine, 2010
[28] Sistem Monitoring dan Diagnosis Diabetic Retinopathy