Thibaut Nico

Title: Thibaut Nico and Image Segmentation for Sets of Objects.

Introduction

Thibaut Nico is an inventor associated with Brest, France, and Howmedica Osteonics Corporation. His patent work concerns computational methods for segmenting objects in three-dimensional images.

Latest Patents

Nico is associated with 1 patent, titled “Image Segmentation for Sets of Objects.” The invention describes a computing system that applies a neural network to a 3D image to create an initial segmentation mask, assigning image voxels to individual objects. It then refines the mask by using a front propagation process for each object to relabel voxels. The process stops along a path when it reaches a voxel initially assigned to a different object.

Career Highlights

Nico’s listed patent reflects work on image-processing techniques that combine neural-network segmentation with object-specific refinement. He is associated with Howmedica Osteonics Corporation.

Collaborations

The provided information lists Yannick Morvan and Manuel Jean-Marie Urvoy as Nico’s coworkers. It does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Thibaut Nico’s patent focuses on refining 3D image segmentation by propagating object labels while respecting boundaries identified in an initial mask.