Convolutional neural network transfer for automated glaucoma identification論文理解
本文開源的MATLAB的代碼 目前用於眼底圖像的自動青光眼檢測的大多數系統依賴於基於分割的特徵，很明顯，它們受到底層分割方法的影響。在本文中，我們提出在非醫療數據上預訓練CNN來實現青光眼自動檢測方案的可行性。本文提出兩種不同的CNN（即OverFeat和VGG-S）應用於眼底圖像以產生特徵向量。文中加入了預處理技術，如血管修復，對比度限制自適應直方圖均衡（CLAHE）和在ONH區域
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相關文章
- 1. 論文筆記：Convolutional Neural Network for Sentence Classification
- 2. 論文筆記：DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification
- 3. Convolutional Neural Network For Sentence Classification
- 4. Synaptic Strength For Convolutional Neural Network
- 5. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs論文解讀
- 6. Relation-Shape Convolutional Neural Network for Point Cloud Analysis 論文解讀
- 7. 【醫學+深度論文：F16】2015 EMBC Glaucoma detection based on deep convolutional neural network
- 8. [Style Transfer]—Combining Markov Random Fields and Convolutional Neural Network for Image Synthesis
- 9. 《ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs》
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