【醫學+深度論文：F13】2018 Development of a deep residual learning algorithm to screen for glaucoma from
13 2018 Scientific Reports Development of a deep residual learning algorithm to screen for glaucoma from fundus photography Method ： 分類 Dataset ：3242 Train(1364N,1768G) Test(50N,60G) two-dimensi
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相關文章
- 1. 【醫學+深度論文：F01】 2018 Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropath
- 2. 【醫學+深度論文：F09】2018 Deep Convolution Neural Network for Accurate Diagnosis of Glaucoma Using Digital
- 3. 【醫學+深度論文：F08】2018 Performance of Deep Learning Architectures and Transfer Learning for Detecting
- 4. 【醫學+深度論文：F11】2018 A deep learning model for the detection of both advanced and early glaucoma using
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- 6. 【醫學+深度論文：F03】 2018 A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic
- 7. 【醫學+深度論文：F15】2018 Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image
- 8. 【醫學+深度論文：F18】2019 Robust optic disc and cup segmentation with deep learning for glaucoma detection
- 9. 【醫學+深度論文：F06】2018 CVPR A Deep Learning based Joint Segmentation and Classification Framework
- 10. 深度學習論文翻譯--Deep Residual Learning for Image Recognition