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Effect of patch size and network architecture on a convolutional neural network approach for automatic segmentation of OCT retinal layers
Deep learning strategies, particularly convolutional neural networks (CNNs), are especially suited to finding patterns in images and using those patterns for image classification. The method is normally applied to an image patch and assigns a class weight to the patch; this method has recently been...
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| 出版年: | Biomed Opt Express |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Optical Society of America
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6033561/ https://ncbi.nlm.nih.gov/pubmed/29984082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.003049 |
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