Leopold et al., 2019 - Google Patents
PixelBNN: augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentationLeopold et al., 2019
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- 140650835323087913
- Author
- Leopold H
- Orchard J
- Zelek J
- Lakshminarayanan V
- Publication year
- Publication venue
- Journal of Imaging
External Links
Snippet
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to longitudinal studies able to utilize multimedia image registration and disease/condition …
- 230000011218 segmentation 0 title abstract description 55
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
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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
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- G06T2207/30004—Biomedical image processing
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
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