A study on cup-disc ratios obtained from various image processing algorithms through classification analysis
Glaucoma is the degeneration of optic nerve cells, and is characterized by the changes in the optic nerve head and visual field. Even though, glaucomatous damage is irreversible, early detection and subsequent medical intervention by ophthalmologists is effective in slowing the progression of the di...
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| Eará dahkkit: | |
| Materiálatiipa: | Final Year Project (FYP) |
| Giella: | English |
| Almmustuhtton: |
2009
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| Fáttát: | |
| Liŋkkat: | http://hdl.handle.net/10356/17901 |
| _version_ | 1826110858063773696 |
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| author | Teo, Meng Hwee. |
| author2 | Chan Kap Luk |
| author_facet | Chan Kap Luk Teo, Meng Hwee. |
| author_sort | Teo, Meng Hwee. |
| collection | NTU |
| description | Glaucoma is the degeneration of optic nerve cells, and is characterized by the changes in the optic nerve head and visual field. Even though, glaucomatous damage is irreversible, early detection and subsequent medical intervention by ophthalmologists is effective in slowing the progression of the disease. The CDR, which is the ratio between the optic cup and disc, is an important indicator of glaucoma [1], as glaucomatous neuropathy results in increased excavation of the optic cup and thus increasing the CDR. Currently, evaluation of CDR is performed manually and is subject to individual evaluation by the
ophthalmologists. Furthermore, the dependence on manual grading limits its potential for use in mass screening for early Glaucoma detection. |
| first_indexed | 2024-10-01T02:41:02Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/17901 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:41:02Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/179012023-07-07T16:36:30Z A study on cup-disc ratios obtained from various image processing algorithms through classification analysis Teo, Meng Hwee. Chan Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Glaucoma is the degeneration of optic nerve cells, and is characterized by the changes in the optic nerve head and visual field. Even though, glaucomatous damage is irreversible, early detection and subsequent medical intervention by ophthalmologists is effective in slowing the progression of the disease. The CDR, which is the ratio between the optic cup and disc, is an important indicator of glaucoma [1], as glaucomatous neuropathy results in increased excavation of the optic cup and thus increasing the CDR. Currently, evaluation of CDR is performed manually and is subject to individual evaluation by the ophthalmologists. Furthermore, the dependence on manual grading limits its potential for use in mass screening for early Glaucoma detection. Bachelor of Engineering 2009-06-17T08:26:41Z 2009-06-17T08:26:41Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17901 en Nanyang Technological University 50 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Teo, Meng Hwee. A study on cup-disc ratios obtained from various image processing algorithms through classification analysis |
| title | A study on cup-disc ratios obtained from various image processing algorithms through classification analysis |
| title_full | A study on cup-disc ratios obtained from various image processing algorithms through classification analysis |
| title_fullStr | A study on cup-disc ratios obtained from various image processing algorithms through classification analysis |
| title_full_unstemmed | A study on cup-disc ratios obtained from various image processing algorithms through classification analysis |
| title_short | A study on cup-disc ratios obtained from various image processing algorithms through classification analysis |
| title_sort | study on cup disc ratios obtained from various image processing algorithms through classification analysis |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/17901 |
| work_keys_str_mv | AT teomenghwee astudyoncupdiscratiosobtainedfromvariousimageprocessingalgorithmsthroughclassificationanalysis AT teomenghwee studyoncupdiscratiosobtainedfromvariousimageprocessingalgorithmsthroughclassificationanalysis |