Computerized medical imaging and graphics, 2017-01, Vol.55, p.28-41
2017
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Details
- Autor(en) / Beteiligte
- Titel
- Glaucoma Detection Using Entropy Sampling And Ensemble Learning For Automatic Optic Cup And Disc Segmentation
- Ist Teil von
- Computerized medical imaging and graphics, 2017-01, Vol.55, p.28-41
- Ort / Verlag
- United States: Elsevier Ltd
- Erscheinungsjahr
- 2017
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- Highlights • An ensemble learning based architecture to learn convolutional filters • Use of boosting as a computationally efficient learning framework • Accurate networks learned from few sample data
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0895-6111eISSN: 1879-0771DOI: 10.1016/j.compmedimag.2016.07.012Titel-ID: cdi_proquest_miscellaneous_1856868983
- Format
- –
- Schlagworte
- Artificial neural networks, Boosting, Classifiers, CNN, Computer applications, Ensemble learning, Entropy, Filters, Glaucoma, Glaucoma - diagnostic imaging, Humans, Image processing, Image segmentation, Internal Medicine, Learning, Logistic Models, Neural networks, Neural Networks (Computer), Optic cup, Optic disc, Optic Disk - diagnostic imaging, Other, Pattern Recognition, Automated - methods, Retina, Retinal images, Sampling, Segmentation, Unsupervised Machine Learning