The impact of image resolution on diagnostic accuracy using fractal dimension in identifying diabetic retinopathy, glaucoma, and age‑related macular degeneration
Key messages What is known: What is new: Fractal dimension (FD) analysis is associated with quantifying the complexity of retinal vasculature, an essential aspect in the assessment of ocular diseases. High-resolution fundus imaging aids in detailed visualization but its impact on diagnostic pre...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/112238/7/112238_The%20impact%20of%20image%20resolution.pdf http://irep.iium.edu.my/112238/ https://doi.org/10.1007/s00417-024-06521-x |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | Key messages
What is known:
What is new:
Fractal dimension (FD) analysis is associated with quantifying the complexity of retinal vasculature, an essential
aspect in the assessment of ocular diseases.
High-resolution fundus imaging aids in detailed visualization but its impact on diagnostic precision has been unclear.
FD analysis at 2048 × 2048 pixels resolution enhances the differentiation between healthy and pathological retinal
The highest resolution analyzed offers significant improvement in diagnostic accuracy for diseases such as diabetic
retinopathy, glaucoma, and age-related macular degeneration.
This study confirms that image resolution is crucial for accurate FD analysis, correlating directly with improved
states.
diagnostic outcomes. |
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