Harangi et al., 2014 - Google Patents
Automatic exudate detection by fusing multiple active contours and regionwise classificationHarangi et al., 2014
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- 1041540615842517506
- Author
- Harangi B
- Hajdu A
- Publication year
- Publication venue
- Computers in biology and medicine
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Snippet
In this paper, we propose a method for the automatic detection of exudates in digital fundus images. Our approach can be divided into three stages: candidate extraction, precise contour segmentation and the labeling of candidates as true or false exudates. For …
- 210000000416 Exudates and Transudates 0 title abstract description 130
Classifications
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- G06T2207/30004—Biomedical image processing
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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