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| Content Provider | IET Digital Library |
|---|---|
| Author | Kar, Sudeshna Sil Maity, Santi P. |
| Abstract | This study explores neovascularisation and lesion detection in an integrated framework for gradation in diabetic retinopathy (DR). Imaging is assumed to be done from sub-sample measurements following compressed sensing. Blind estimation of the scale of the matched filter (MF) followed by fuzzy entropy maximisation is done for extraction and classification of the thick and the thin vessels. Mutual information (MI) between vessel density and tortuosity of the thin vessel class is maximised in two dimensions (2D) for neovascularisation detection. For lesion detection, MI between the maximum MF response and the maximum Laplacian of Gaussian filter response is jointly maximised in 2D. The outcomes are then combined in a common platform for gradation in DR. Simulation results demonstrate that 95% images of each of DRIVE, STARE and DIARETDB1 databases and 94% images of MESSIDOR database are correctly graded by the proposed method when 80% measurement space is considered. |
| Starting Page | 1956 |
| Ending Page | 1963 |
| Page Count | 8 |
| ISSN | 17519659 |
| Volume Number | 12 |
| e-ISSN | 17519667 |
| Issue Number | Issue 11, Nov (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1013 |
| Journal | IET Image Processing |
| Publisher Date | 2018-06-22 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Algebra Biology And Medical Computing Biomedical Imaging/measurement Biomedical Optical Imaging Blind Estimation Blood Vessels Combinatorial Mathematics Compressed Sensing Computer Vision And Image Processing Technique Diabetic Retinopathy Gradation DIARETDB1 Database DRIVE Database Entropy Feature Extraction Filtering Method in Signal Processing Fuzzy Entropy Maximisation Fuzzy Set Theory Graph Theory Image And Video Coding Image Classification Image Recognition Lesion Detection Matched Filter Maximum Laplacian-of-Gaussian Filter Response Maximum MF Response Medical Image Processing MESSIDOR Database Mutual Information Neovascularisation Detection Object Detection Optical And Laser Radiation Patient Diagnostic Method And Instrumentation Reconstructed Image Set Theory STARE Database Subsample Measurement Thin Vessel Class Vessel Density |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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