Title: Issues · rachellea/ct-volume-preprocessing · GitHub
Open Graph Title: Issues · rachellea/ct-volume-preprocessing
X Title: Issues · rachellea/ct-volume-preprocessing
Description: End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes." - Issues · rachellea/ct-volume-preprocessing
Open Graph Description: End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction wi...
X Description: End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Predictio...
Opengraph URL: https://github.com/rachellea/ct-volume-preprocessing
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository/issues(.:format) |
| route-controller | issues |
| route-action | index |
| fetch-nonce | v2:83eb33b5-46c6-bc96-bb26-01f15f8831a6 |
| current-catalog-service-hash | 81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114 |
| request-id | BF00:11BE9D:25170FE:356FAF3:6A4BE866 |
| html-safe-nonce | caf1718e598d0238ed2b0e86844058a12f7a23ca63ceeab3403fc417d7230028 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCRjAwOjExQkU5RDoyNTE3MEZFOjM1NkZBRjM6NkE0QkU4NjYiLCJ2aXNpdG9yX2lkIjoiMjEwMjIyODg0MDk3NjE1OTc0IiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0= |
| visitor-hmac | 02732310d01498e73b6f03682d1da02402c41540b863e6f768d790a62bd0d66d |
| hovercard-subject-tag | repository:295817744 |
| github-keyboard-shortcuts | repository,issues,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/rachellea/ct-volume-preprocessing/issues |
| twitter:image | https://opengraph.githubassets.com/13a99d9e58067bcf0221fcbc296e3c2094744e1218c4407f559a9c7888621c58/rachellea/ct-volume-preprocessing |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/13a99d9e58067bcf0221fcbc296e3c2094744e1218c4407f559a9c7888621c58/rachellea/ct-volume-preprocessing |
| og:image:alt | End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction wi... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 0f5d3ba365b3985d75c32a5957c8635488d58dcf027ae6ae958eee7edaa306a2 |
| turbo-cache-control | no-cache |
| go-import | github.com/rachellea/ct-volume-preprocessing git https://github.com/rachellea/ct-volume-preprocessing.git |
| octolytics-dimension-user_id | 5287988 |
| octolytics-dimension-user_login | rachellea |
| octolytics-dimension-repository_id | 295817744 |
| octolytics-dimension-repository_nwo | rachellea/ct-volume-preprocessing |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 295817744 |
| octolytics-dimension-repository_network_root_nwo | rachellea/ct-volume-preprocessing |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | f24da9b76b42d77b0bb458f810509565e9ba5f1a |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width