Retinal Feature Detection
Retinal Feature Detection is a computational method in computer vision that identifies and localizes specific morphological structures or abnormalities in retinal imagery by analyzing pixel-level patterns through image processing or machine learning techniques.
973
Publications
58.2K
Citations
3.1K
Authors
1.1K
Institutions
Publications per year
2017–2026
499
Parents
973
Convolutional Neural Networks for Diabetic Retinopathy
Harry Pratt, Frans Coenen, Deborah Broadbent et al. · Procedia Computer Science · 2016 · 951 citations · Full text
1–5 of 973
3.1K
15
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National University of Sciences and Technology, Pakistan
14 publications · 660 citations
12
h-index
University of California San Diego, United States
12 publications · 5.2K citations
12
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12
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1–5 of 3.1K
1.1K
National University of Sciences and Technology
Islamabad, Pakistan
18 h-index
56 publications
2.7K citations
National University of Singapore
Singapore, Singapore
17 h-index
61 publications
2.8K citations
Singapore Eye Research Institute
Singapore, Singapore
15 h-index
62 publications
2K citations
Institute for Infocomm Research
Singapore, Singapore
14 h-index
73 publications
2.1K citations
Agency for Science, Technology and Research
Singapore, Singapore
14 h-index
68 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
13 h-index
27 publications
2.8K citations

Universidade da Coruña
A Coruña, Spain
13 h-index
58 publications
2.7K citations
Bahria University
Islamabad, Pakistan
12 h-index
21 publications
1.1K citations
1–8 of 1.1K
23 publications · 892 citations
18
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16 publications · 6.8K citations
16
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18 publications · 876 citations
16
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15 publications · 1.4K citations
15
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14 publications · 753 citations
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