Finally, we conducted a comprehensive comparison of the results obtained with those from the top-rated deep learning models, to select the optimal model for diagnosing dry eye disease, which is our ultimate goal.El Harti, ManalHassan II UniversityZaamoun, Saad...
eye disease-detection ai4health foundation-model Updated Oct 14, 2023 Jupyter Notebook nomandhoni-cs / blink-eye Star 55 Code Issues Pull requests Discussions Blink Eye: A minimalist eye care reminder app to reduce eye strain, featuring customizable timers 🔜 , full-screen popups, audio...
The constructed network, testing on the Ichallenge-AMD dataset [55], Ichallenge-PM dataset [56], and EyePACS dataset [57], demonstrated the ability to acquire diagnostic information across different modalities, which shows effectiveness for fundus disease classification [58]. This study employs an ...
accuracy models; however, data for more severe stages of disease, as well as for rare diseases, are often insufficient. Fourth, the current application of AI in ophthalmology mainly focuses on single images of a single disease, whereas combined diagnosis using multiple imaging techniques is needed ...
Kaggle-Cassava-Leaf-Disease-Classification:Kaggle竞赛代码“木薯叶病分类”。 排名2563900(最高7%)铜牌 Kaggle-木薯叶病分类 Kaggle竞赛代码“木薯叶病分类”。 排名256/3900(最高7%)铜牌 比赛于2月结束,当我最近整理代码时,我决定在GitHub上发布它(整理代码确实是一件很累的工作〜)。 我在私有数据集中得到0.89...
基于UCI Heart Disease数据集的心脏病分析python源码期末大作业.zip 基于UCI Heart Disease数据集的心脏病分析python源码期末大作业.zip个人经导师指导并认可通过的98分大作业设计项目,主要针对计算机相关专业的正在做课程设计、期末大作业的学生和需要项目实战练习的学习者。 基于UCI Heart Disease数据集的心脏病分析...
Kaggle竞赛:San Francisco Crime Classification 数据集。包括:sampleSubmission.csv 、 test.csv 、 train.csv 3个CSV文件 kaggle2019-05-26 上传大小:39.00MB 所需:43积分/C币 Kaggle比赛,气象云图分割.zip 比赛项目源码 上传者:qq_34717531时间:2023-09-30 ...
Documenting rare disease data in China. Science. 2015;349(6252):1064. Article CAS PubMed Google Scholar Wang L, Zhang K, Liu X, Long E, Jiang J, An Y, et al. Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images. Sci Rep. 2017;7:41545. ...
Our technique is both hardware effective and adaptable when it comes to DED classification.The experiments used the Kaggle dataset. Our methodology employs a variety of technique for processing images like, Extraction and BCNNbased classification. The proposed design is extremel...
Eye disease Classification with Grey Level Co-occu menu Create auto_awesome_motion View Active Events Ragil Prasetyo·4y ago· 7,332 views arrow_drop_up20 Copy & Edit197 more_vert comment 0 Comments Hotness chevron_right