{"id":17494625,"url":"https://github.com/bsenst/capstone1-skin-lesion-classifier","last_synced_at":"2026-05-01T15:36:42.386Z","repository":{"id":82866768,"uuid":"569694081","full_name":"bsenst/capstone1-skin-lesion-classifier","owner":"bsenst","description":"Experimental neural network to classify skin lesions from the HAM10k collection.","archived":false,"fork":false,"pushed_at":"2022-12-17T18:52:42.000Z","size":396,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T18:19:49.128Z","etag":null,"topics":["neural-network","python3","skin-lesion-classification","xception-model"],"latest_commit_sha":null,"homepage":"","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/bsenst.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":"2022-11-23T12:07:05.000Z","updated_at":"2022-11-23T20:54:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"582bf562-aed3-4c94-8c56-e87f1d93ba91","html_url":"https://github.com/bsenst/capstone1-skin-lesion-classifier","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/bsenst/capstone1-skin-lesion-classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bsenst%2Fcapstone1-skin-lesion-classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bsenst%2Fcapstone1-skin-lesion-classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bsenst%2Fcapstone1-skin-lesion-classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bsenst%2Fcapstone1-skin-lesion-classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bsenst","download_url":"https://codeload.github.com/bsenst/capstone1-skin-lesion-classifier/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bsenst%2Fcapstone1-skin-lesion-classifier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32503199,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["neural-network","python3","skin-lesion-classification","xception-model"],"created_at":"2024-10-19T13:28:46.846Z","updated_at":"2026-05-01T15:36:42.347Z","avatar_url":"https://github.com/bsenst.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# capstone1-skin-lesion-classifier\nExperimental neural network to classify skin lesions from the HAM10k collection.\n\n***Disclaimer: This work is part of an educational project. It is not intended for clinical application. As such it can not make real world predictions for skin lesions. To get recommendations regarding skin lesions one should ask for expert advice such as provided by a dermatologist.***\n\nThe dataset on kaggle: https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000\n\nThe notebook to train the initial model: https://www.kaggle.com/code/bnzn261029/capstone1-ham10k-skincancer\n\nThe model on huggingface: https://huggingface.co/bsenst/skin-cancer-HAM10k/settings\n\nThe gradio app on huggingface spaces: https://huggingface.co/spaces/bsenst/keras-image-classifier\n\n![image](https://user-images.githubusercontent.com/8211411/205152550-c0785d54-db1a-4dc5-a898-e438f06ac647.png)\n\nThe model classifies images using the following classes: \n* Actinic keratoses and intraepithelial carcinoma / Bowen's disease (akiec), \n* basal cell carcinoma (bcc), \n* benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses, bkl),\n* dermatofibroma (df), \n* melanoma (mel), \n* melanocytic nevi (nv) and \n* vascular lesions (angiomas, angiokeratomas, pyogenic granulomas and hemorrhage, vasc)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbsenst%2Fcapstone1-skin-lesion-classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbsenst%2Fcapstone1-skin-lesion-classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbsenst%2Fcapstone1-skin-lesion-classifier/lists"}