Akbar et al., 2020 - Google Patents
A Novel Filtered Segmentation-Based Bayesian Deep Neural Network Framework on Large Diabetic Retinopathy Databases.Akbar et al., 2020
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- 8434740975719559839
- Author
- Akbar S
- Midhunchakkaravarthy D
- Publication year
- Publication venue
- Revue d'Intelligence Artificielle
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Snippet
Accepted: 10 December 2020 Image thresholding-based segmentation models play a vital role in the detection of Diabetic retinopathy (DR) on large databases. Most of the conventional segmentation-based classification models are independent of over segmented …
- 206010012689 Diabetic retinopathy 0 title abstract description 59
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- G06K9/6228—Selecting the most significant subset of features
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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