【醫學+深度論文：F05】2018 automatic optic disk and cup segmentation of fundus images using deep learning
05 automatic optic disk and cup segmentation of fundus images using deep learning 2018 Method ：分割，視盤視杯，杯盤比 ; one-stage Dataset ：Drishti-GS （160 training/10 validation / 51 testing） Architecture : FCN
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- 1. 【醫學+深度論文：F04】Integrated Optic Disc and Cup Segmentation with Deep Learning
- 2. 【醫學+深度論文：F12】2017Glaucoma-Deep: Detection of Glaucoma Eye Disease on Retinal Fundus Images using Dee
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相關文章
- 1. 【醫學+深度論文：F04】Integrated Optic Disc and Cup Segmentation with Deep Learning
- 2. 【醫學+深度論文：F12】2017Glaucoma-Deep: Detection of Glaucoma Eye Disease on Retinal Fundus Images using Dee
- 3. 【醫學+深度論文：F18】2019 Robust optic disc and cup segmentation with deep learning for glaucoma detection
- 4. 【醫學+深度論文：F14】2018 Joint Optic Disc and Cup Segmentation Based on Multi Label Deep Network
- 5. 【醫學+深度論文：F01】 2018 Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropath
- 6. 【醫學+深度論文：F08】2018 Performance of Deep Learning Architectures and Transfer Learning for Detecting
- 7. 【醫學+深度論文：F03】 2018 A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic
- 8. 【醫學+深度論文：F06】2018 CVPR A Deep Learning based Joint Segmentation and Classification Framework
- 9. 【醫學+深度論文：F10】ISBI Using Deep Learning for Robustness to Parapapillary Atrophy in Optic Disc
- 10. 【醫學+深度論文：F09】2018 Deep Convolution Neural Network for Accurate Diagnosis of Glaucoma Using Digital