{"id":18785283,"url":"https://github.com/andreped/ohif4hf","last_synced_at":"2026-02-02T17:35:51.524Z","repository":{"id":195522394,"uuid":"693069317","full_name":"andreped/ohif4hf","owner":"andreped","description":"🤗 Showcasing AI solutions for medical applications in OHIF using Hugging Face","archived":false,"fork":false,"pushed_at":"2023-10-19T11:17:22.000Z","size":24,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-06-15T12:56:58.885Z","etag":null,"topics":["ai","artificial-intelligence","huggingface","machine-learning","medical-image-analysis","ohif","open-source","pathology","plugins","radiology","web-application"],"latest_commit_sha":null,"homepage":"https://huggingface.co/spaces/andreped/ohif4hf","language":"Dockerfile","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/andreped.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-09-18T09:32:09.000Z","updated_at":"2024-01-30T14:25:44.000Z","dependencies_parsed_at":"2023-09-18T12:04:01.456Z","dependency_job_id":"c766a6ea-d73d-4bc3-905c-e53d874baa66","html_url":"https://github.com/andreped/ohif4hf","commit_stats":null,"previous_names":["andreped/ohif4hf"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/andreped/ohif4hf","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreped%2Fohif4hf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreped%2Fohif4hf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreped%2Fohif4hf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreped%2Fohif4hf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/andreped","download_url":"https://codeload.github.com/andreped/ohif4hf/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreped%2Fohif4hf/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260015811,"owners_count":22946316,"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":["ai","artificial-intelligence","huggingface","machine-learning","medical-image-analysis","ohif","open-source","pathology","plugins","radiology","web-application"],"created_at":"2024-11-07T20:46:08.722Z","updated_at":"2026-02-02T17:35:51.497Z","avatar_url":"https://github.com/andreped.png","language":"Dockerfile","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\ntitle: 'ohif4hf: Project to showcase AI solutions for medical applications in OHIF'\ncolorFrom: indigo\ncolorTo: indigo\nsdk: docker\nemoji: 🔬\npinned: false\nlicense: mit\ncustom_headers:\n  cross-origin-embedder-policy: require-corp\n  cross-origin-opener-policy: same-origin\n  cross-origin-resource-policy: cross-origin\n---\n\n\u003cdiv align=\"center\"\u003e \n\u003ch1 align=\"center\"\u003eohif4hf\u003c/h1\u003e\n\u003ch3 align=\"center\"\u003eProject to showcase AI solutions for medical applications in OHIF\u003c/h3\u003e\n\n[![license](https://img.shields.io/github/license/DAVFoundation/captain-n3m0.svg?style=flat-square)](https://github.com/DAVFoundation/captain-n3m0/blob/master/LICENSE)\n[![CI/CD](https://github.com/andreped/ohif4hf/actions/workflows/deploy.yml/badge.svg)](https://github.com/andreped/ohif4hf/actions/workflows/deploy.yml)\n\u003ca target=\"_blank\" href=\"https://huggingface.co/spaces/andreped/ohif4hf\"\u003e\u003cimg src=\"https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg\"\u003e\u003c/a\u003e\n\n**ohif4hf** was developed by SINTEF Medical Image Analysis to accelerate medical AI research.\n\n\u003c/div\u003e\n\n## :gift: [Brief intro](https://github.com/andreped/ohif4hf#brief-intro)\n\nThe aim of this project, is to enable people without programming expertise to easily test AI solutions on their own data. The AI models should be accessible through a user-friendly user interface (UI), accessible through a browser, not requiring any installation stage.\n\nFor the UI, we have used OHIF, which already has all the core features required for reading CTs/MRIs/WSIs and visualizing them, and we will be developing plugins for OHIF, which adds AI model support.\n\nOne of the first models we will be adding, are the preoperative tumour segmentation models, which are available in the open software [Raidionics](https://github.com/raidionics/Raidionics).\n\n## 🤗 [Demo](https://github.com/andreped/ohif4hf#demo)  \u003ca target=\"_blank\" href=\"https://huggingface.co/spaces/andreped/ohif4hf\"\u003e\u003cimg src=\"https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg\"\u003e\u003c/a\u003e\n\nTo access the live demo, click on the Hugging Face badge above. Below is a snapshot of the current state of the demo app.\n\n![screenshot](https://github.com/andreped/ohif4hf/assets/29090665/38c00767-a78d-4764-8827-adfc48cb6cf5)\n\n\n_**NOTE:** The project is a work-in-progress. The final plugin(s) are yet to be added. Stay tuned!_\n\nThe web app is also deployed on [my personal website](https://andreped.github.io/demos/2023/ohif-plugin/), using HF for hosting the solution.\n\n## 🐳 [Development](https://github.com/andreped/ohif4hf#development)\n\n```\ngit clone https://github.com/andreped/ohif4hf.git\ndocker build -t ohif4hf:latest .\ndocker run -ti -p 7860:7860 ohif4hf:latest\n```\n\nThen in your favourite browser, go to `http://localhost:7860`\n\nTo go inside docker image and debug, at the bottom of the Dockerfile, add `ENTRYPOINT [ \"/bin/sh\" ]` before running.\n\nFor development, it might also be useful to build the docker image using `--no-cache`.\n\n## 👏 [Acknowledgements](https://github.com/andreped/ohif4hf#acknowledgements)\n\nI did not develop OHIF, only implemented some plugins and showcased deployment on Hugging Face space.\n\nCredit should be given to the developers of OHIF for making such an amazing open software solution!\n\nI also want to acknowledge [@radames](https://github.com/radames) at Hugging Face for assistance with HF space integration.\n\n## ✨ [License](https://github.com/andreped/ohif4hf#license)\n\nThe code in this repository is released under [MIT-License](https://github.com/andreped/ohif4hf/blob/main/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreped%2Fohif4hf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandreped%2Fohif4hf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreped%2Fohif4hf/lists"}