{"id":25045934,"url":"https://github.com/tejacherukuri/rhd","last_synced_at":"2026-04-11T00:12:57.898Z","repository":{"id":244822349,"uuid":"815713022","full_name":"TejaCherukuri/RHD","owner":"TejaCherukuri","description":"Retinal Health Diagnostics is an Intelligent Computer Aided Diagnostic Application for diagnosing retinal diseases","archived":false,"fork":false,"pushed_at":"2024-06-21T19:24:07.000Z","size":18768,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-06T06:41:37.295Z","etag":null,"topics":["aws","computer-vision","deep-learning","flask","machine-learning","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TejaCherukuri.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-15T23:20:49.000Z","updated_at":"2025-01-19T17:50:28.000Z","dependencies_parsed_at":"2024-06-22T11:29:15.799Z","dependency_job_id":"89c2129f-de0e-4bd7-9b5f-38bb55e17853","html_url":"https://github.com/TejaCherukuri/RHD","commit_stats":null,"previous_names":["tejacherukuri/rhd"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TejaCherukuri%2FRHD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TejaCherukuri%2FRHD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TejaCherukuri%2FRHD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TejaCherukuri%2FRHD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TejaCherukuri","download_url":"https://codeload.github.com/TejaCherukuri/RHD/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246400449,"owners_count":20771016,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["aws","computer-vision","deep-learning","flask","machine-learning","python","tensorflow"],"created_at":"2025-02-06T06:33:45.036Z","updated_at":"2025-12-30T23:15:12.507Z","avatar_url":"https://github.com/TejaCherukuri.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003e Retinal Health Diagnostics - The Intelligent Application\u003c/h1\u003e\n\u003ch3\u003eHealthy Eyes \u0026 Healthy Life with Retinal Health Diagnostics, It's all in the Eyes!!\u003c/h3\u003e\n\n\nRetinal Health Diagnostics is an Intelligent Computer Aided Diagnostic Application built using a Novel Deep Learning based model called 'Hinge Attention Network' for retinal diseases diagnosis using color fundus retinal scan imaging \u0026 digital eye imaging techniques. This model was developed and tested on standard benchmark datasets. Results of this work revelaled the superiority of this approach by achieving state-of-the-art performance over several existing techniques.\u003c/p\u003e\nThis application diagnoses 3 different types of retinal diseases including\n\u003cli\u003eCataracts\u003c/li\u003e\n\u003cli\u003eDiabetic Macular Edema\u003c/li\u003e\n\u003cli\u003eDiabetic Retinopathy\u003c/li\u003e\n\n\u003ch2\u003eDataset Information\u003c/h2\u003e\n\u003ch4\u003eCataracts\u003c/h4\u003e\n\u003cli\u003eCataract-Eyes (Digital Eyes) - https://www.kaggle.com/datasets/himaniac/cataract-eye-dataset\u003c/li\u003e\n\u003cli\u003eODIR-5k (Color Fundus Images) - https://www.kaggle.com/datasets/andrewmvd/ocular-disease-recognition-odir5k\u003c/li\u003e\n\n\u003ch4\u003eDiabetic Macular Edema\u003c/h4\u003e\n\u003cli\u003eMessidor2 (Color Fundus Photography) - https://www.kaggle.com/datasets/mariaherrerot/messidor2preprocess/data\u003c/li\u003e\n\n\u003ch4\u003eDiabetic Retinopathy\u003c/h4\u003e\n\u003cli\u003eAPTOS 2019 (Color Fundus Photopgraphy) - https://www.kaggle.com/c/aptos2019-blindness-detection/data\u003c/li\u003e\n\n\u003cbr\u003e\n\n\u003ch2\u003eResults\u003c/h2\u003e\n\u003cp\u003ePerformance in terms of Accuracy\u003c/p\u003e\n\n\u003cli\u003eCataract-Eyes Dataset: 96.97%\u003c/li\u003e\n\u003cli\u003eODIR Dataset: 97.95%\u003c/li\u003e \n\u003cli\u003eMessidor2 Dataset: 94.60%\u003c/li\u003e\n\u003cli\u003eAPTOS 2019 Dataset: 85.64%\u003c/li\u003e\n\n\u003ch2\u003eTechnologies/Libraries Used\u003c/h3\u003e\n\u003cli\u003eHTML\u003c/li\u003e\n\u003cli\u003eCSS\u003c/li\u003e\n\u003cli\u003eJavaScript\u003c/li\u003e\n\u003cli\u003ePython\u003c/li\u003e\n\u003cli\u003eFlask\u003c/li\u003e\n\u003cli\u003eTensorflow\u003c/li\u003e\n\u003cli\u003eKeras\u003c/li\u003e\n\u003cli\u003eOpenCV\u003c/li\u003e\n\n\u003ch2\u003eSetting up the project\u003c/h2\u003e\n\u003cp\u003eDownload required dependencies and just launch \"Main.py\" file. You can see the application running in your local server.\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftejacherukuri%2Frhd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftejacherukuri%2Frhd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftejacherukuri%2Frhd/lists"}