The material for the Big Data and 3D analysis presentation for the MaxIV Summer School (https://www.maxiv.lu.se/2018-sr-summer-school_maxiv-chalmers/)
The fossils example shows fossil data prepared by Phil Donoghue from the University of Bristol and published in Paleontology as The anatomy, taphonomy, taxonomy and systematic affinity of Markuelia: Early Cambrian to Early Ordovician scalidophorans
- Small Fossils - https://www.kaggle.com/kmader/qbi-image-segmentation
- Odd Couple - https://www.kaggle.com/kmader/thrinaxodon-and-broomistega-3d-ct
- Viewing https://www.kaggle.com/kmader/teeth-fossil-viewing
- Viewing Couple https://www.kaggle.com/kmader/odd-couple-overview
The battery example comes from the group of Vanessa Woods from ETH Zurich and is published in X‐Ray Tomography of Porous, Transition Metal Oxide Based Lithium Ion Battery Electrodes
https://www.kaggle.com/kmader/battery-3d-images
- Viewing https://www.kaggle.com/kmader/nmc-battery-3d-overview
- Segmentation / Watershed https://www.kaggle.com/kmader/battery-watershed-overview
- Texture Analysis https://www.kaggle.com/kmader/texture-to-detect-cracked-granules
- Parallel and Distributed Analysis https://www.kaggle.com/kmader/3d-image-analysis-using-dask
These are datasets of cellular foam materials (water, aluminum) where the goal is to identify the distinct bubbles or cells in the foam.
- Geology: https://github.com/kmader/conduit_analysis
- Aluminum: https://www.kaggle.com/rajmund/alufoam98 https://www.kaggle.com/rajmund/alufoam98t1
- Water Foams: https://www.kaggle.com/4quant/simplefoam
- Chest CT / Lungs - https://www.kaggle.com/kmader/finding-lungs-in-ct-data
- Overview: https://www.kaggle.com/kmader/data-preview
- Computer Vision Algorithm: https://www.kaggle.com/kmader/dsb-lung-segmentation-algorithm
- Simple Neural Network: https://www.kaggle.com/kmader/simple-nn-with-keras
- Lung U-Net Segmentation: https://www.kaggle.com/toregil/a-lung-u-net-in-keras
https://www.kaggle.com/kmader/electron-microscopy-3d-segmentation