{"id":26223470,"url":"https://github.com/devidduma/ms-detect","last_synced_at":"2026-05-20T07:03:02.723Z","repository":{"id":271993869,"uuid":"915221377","full_name":"devidduma/ms-detect","owner":"devidduma","description":"Multiple sclerosis detection from MRI images.","archived":false,"fork":false,"pushed_at":"2025-01-11T09:39:35.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T10:20:04.368Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/devidduma.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":"2025-01-11T09:30:04.000Z","updated_at":"2025-01-11T09:39:39.000Z","dependencies_parsed_at":"2025-01-11T10:20:07.205Z","dependency_job_id":"d8d2965a-c63a-42a2-826c-d5eed1f7cde1","html_url":"https://github.com/devidduma/ms-detect","commit_stats":null,"previous_names":["devidduma/ms-detect"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devidduma%2Fms-detect","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devidduma%2Fms-detect/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devidduma%2Fms-detect/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devidduma%2Fms-detect/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/devidduma","download_url":"https://codeload.github.com/devidduma/ms-detect/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243263229,"owners_count":20263139,"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":[],"created_at":"2025-03-12T17:35:03.011Z","updated_at":"2026-05-20T07:03:02.613Z","avatar_url":"https://github.com/devidduma.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ms-detect\nMultiple sclerosis detection from MRI images.\n\n#### Dataset\n - Dataset from [eHealth lab](http://www.medinfo.cs.ucy.ac.cy/index.php/facilities/32-software/218-datasets) of Department of Computer Science at University of Cyprus.\n\n#### Recipe\n - Pre-processing: apply continuous or discrete wavelet transformations to MRI images.\n - Binary classification with CNN: predict whether the input image is healthy or unhealthy using a CNN built with Keras framework.\n\n#### Presentations\n - Wavelet Transformations: ([ipynb](presentations/preprocessing/mswavelet_presentation.ipynb)) \n - Batch Wavelet Transformations: ([ipynb](presentations/preprocessing/dataset_preprocessing_batch.ipynb))\n - CNNNet results: ([CNNNet ipynb](presentations/cnn/cnnnet_results.ipynb))\n\n#### Results\nval_loss: 0.4376 - val_accuracy: 0.8297 - val_mse: 0.1396 - val_mae: 0.2852\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevidduma%2Fms-detect","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevidduma%2Fms-detect","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevidduma%2Fms-detect/lists"}