Search Results for author: Laura Cattani

Found 2 papers, 0 papers with code

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces

no code implementations5 Sep 2023 Helena Williams, João Pedrosa, Muhammad Asad, Laura Cattani, Tom Vercauteren, Jan Deprest, Jan D'hooge

Experimental results show that: 1) the proposed framework gives the user explicit control of the surface contour; 2) the perceived workload calculated via the NASA-TLX index was reduced by 30% compared to VOCAL; and 3) it required 7 0% (170 seconds) less user time than VOCAL (p< 0. 00001)

Interactive Segmentation Segmentation

Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces

no code implementations25 Oct 2021 Helena Williams, João Pedrosa, Laura Cattani, Susanne Housmans, Tom Vercauteren, Jan Deprest, Jan D'hooge

The interactive element of the framework allows the user to precisely edit the contour in real-time, and by utilising BEAS it ensures the final contour is smooth and anatomically plausible.

Image Segmentation Interactive Segmentation +3

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