Speaker
Description
Characterisation of the internal 3-dimensional (3D) structure of complex porous materials has been revolutionised with deep-learned image processing and segmentation, promising second-scale scan times with hour-scale quality, and beyond-human multi-label segmentation accuracy at a fraction of the time. However, these claims are currently only true for single-sample, single-domain cases using 2D networks on 3D data, or small 3D subdomains (<
Country | Australia |
---|---|
Student Awards | I would like to submit this presentation into both awards |
Acceptance of the Terms & Conditions | Click here to agree |