AI Challenge

How can we use AI to better and faster characterize transport of particles and microorganisms in porous material?

In this challenged we explore and test new and novel AI methods for the simultaneous detection and segmentation of particles transport in porous materials. For example, we apply

Figure: The result of colloid detection and segmentation using the Mask R-CNN algorithm. Credit: Reza Derakhshani, Vahid Nikpeyman, Parsa Beigzadeh, Enno de Vries

Mask R-CNN, which performs multiple end-to-end learning tasks. This technique effectively detects colloids in an image while simultaneously producing a high-quality segmentation mask for each instance.