What we do on

BugNIST

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BugNIST – a Dataset for Detection and Segmentation under Domain Shift

BugNIST is a large collection of volumetric scans of bugs. We created BugNIST to encourage research for analyzing µCT images. There is a great need for accurate quantitative analysis of volumetric data. With 9542 individual CT volumes, BugNIST is larger than most CT data, the imaged samples are complex-shaped bugs, and as opposed to many medical datasets, it comes with no restrictions in its use. This makes BugNIST ideal as a benchmark for deep learning.

Data repository

Mon, 01 Jan 0001 00:00:00 +0000

QIM 3D Data Repository

The QIM data repository is a collection of µCT scans of different samples, and can be freely used for example for developing and testing

Methods for complex segmentation

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We do custom method development

Below you will find an overview of QIM developed software tools. The tools are free to use. Please respect the license restrictions mentioned with the code and remember to cite us appropriately. If you have any questions please contact us on info@qim.dk.

Qim Platform

Mon, 01 Jan 0001 00:00:00 +0000

Qim Platform - Computational resources for research

Quantitative analysis of large-scale 3D images is difficult and time-consuming. To help solve that issue and prevent image analysis from becoming the bottleneck in 3D imaging research we have created the QIM Platform.

User Support

Mon, 01 Jan 0001 00:00:00 +0000

We aim to make using the Qim Platform and the qim3d library accessible and productive for everyone.

Support for the Qim Platform

We have created a set of tutorials for new users to get familiar with using the platform. In addition, several Jupyter Noteboooks are available, showcasing the various features of the qim3d library. We also have a FAQ section.