{"id":19373886,"url":"https://github.com/mikemwai/oncolyticnet","last_synced_at":"2026-05-09T05:06:03.039Z","repository":{"id":247575266,"uuid":"818217839","full_name":"mikemwai/oncolyticnet","owner":"mikemwai","description":"An Automated Cancer Diagnostics Machine Learning model ","archived":false,"fork":false,"pushed_at":"2024-07-19T10:23:51.000Z","size":64198,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-07T02:16:58.329Z","etag":null,"topics":["cancer-detection","computer-vision","convolutional-neural-networks","deep-learning","flask","tensorflow","transfer-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/mikemwai.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-21T10:59:12.000Z","updated_at":"2024-07-19T10:23:53.000Z","dependencies_parsed_at":"2024-07-17T14:29:18.451Z","dependency_job_id":null,"html_url":"https://github.com/mikemwai/oncolyticnet","commit_stats":null,"previous_names":["mikemwai/oncolyticnet"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mikemwai%2Foncolyticnet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mikemwai%2Foncolyticnet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mikemwai%2Foncolyticnet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mikemwai%2Foncolyticnet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mikemwai","download_url":"https://codeload.github.com/mikemwai/oncolyticnet/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240501242,"owners_count":19811574,"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":["cancer-detection","computer-vision","convolutional-neural-networks","deep-learning","flask","tensorflow","transfer-learning"],"created_at":"2024-11-10T08:32:42.847Z","updated_at":"2026-05-09T05:06:03.009Z","avatar_url":"https://github.com/mikemwai.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Oncolyticnet\n\nThis project aims to develop a machine learning model for detecting brain tumors from MRI scans using the VGG-19 architecture with transfer learning and data augmentation techniques to fine-tune the pre-trained model, enabling accurate and reliable brain tumor detection.\n\n## Installation\n\n1. Clone the repository:\n    ```\n    git clone https://github.com/mikemwai/oncolyticnet.git\n    ```\n2. Navigate to the project directory:\n    ```\n    cd oncolyticnet\n    ```\n3. Install the required packages:\n    ```\n    pip install -r requirements.txt\n    ```\n\n## Usage\n\n- Run the following command to start the application:\n\n  - On Windows:\n\n    ```sh\n        set FLASK_APP=app.py\n        flask run\n    ```\n\n  - On Unix/Linux/Mac:\n\n    ```sh\n        export FLASK_APP=app.py\n        flask run\n    ```\n\n- This will start a development server on http://127.0.0.1:5000/ where you can access the application.\n\n## Dataset\n\n- The dataset used for this project can be downloaded [here](https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection) or extract it from [here](dataset.zip).\n  \n- An additional dataset for image validation was downloaded from [here](https://www.kaggle.com/datasets/pankajkumar2002/random-image-sample-dataset?resource=download).\n  \n- The image validation model and detection model can be downloaded from [here](https://drive.google.com/drive/folders/1300P6O28YW1X2c6jmZ5Nai7jhdLcnIZT?usp=sharing).\n\n## Contributions\n\nIf you'd like to contribute to this project:\n\n- Please fork the repository.\n- Create a new branch for your changes.\n- Submit a [pull request](https://github.com/mikemwai/oncolyticnet/pulls).\n\nContributions, bug reports, and feature requests are welcome!\n\n## Issues\n\nIf you have any issues with the project, feel free to open up an [issue](https://github.com/mikemwai/oncolyticnet/issues).\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmikemwai%2Foncolyticnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmikemwai%2Foncolyticnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmikemwai%2Foncolyticnet/lists"}