Kevin Mader
Kevin Mader
show how k-means works iteratively
Make a better example using DTI images: https://en.wikipedia.org/wiki/Diffusion_MRI#/media/File:DTI-axial-ellipsoids.jpg
https://www.reddit.com/r/computervision/comments/2ggc5l/what_is_hard_negative_mining_and_how_is_it/ckiuu9i?utm_medium=android_app&utm_source=share Let's say I give you a bunch of images that contain one or more people, and I give you bounding boxes for each one. Your classifier will need both...
https://link.springer.com/chapter/10.1007/978-3-319-94878-2_6
This issue and figures perfectly show why it is hard - https://github.com/dask/dask-image/pull/94
- fixing notebook zoom code - adding code to manipulate bounding boxes in cornerstone - works on #8
Getting end-to-end tests for the widget Fixes #18
based on the failed PR #9 the idea would be to have javascript style/testing to make sure the code is reasonable #1 and full end-to-end testing to make sure it...
cornerstone has native support for layers and transparency and it would be useful to output segmentations and heatmaps and show multi-modal images like PET-CT relevant JS is https://github.com/cornerstonejs/cornerstone/blob/803dd7335e16de3cc398a3d42eda2552dd47cb1b/example/layers/index.html#L95-L152