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Most state-of-the-art algorithms for filament detection in 3-D image-stacks rely on computing the Hessian matrix around individual pixels and labeling these pixels according to its eigenvalues. This approach, while very effective for clean data, hi which linear structures are nearly cylindrical, loses its effectiveness in the presence of noisy data and irregular structures.
Varun Sharma, Konstantin Androsov, Xin Chen, Rakesh Chawla, Werner Lustermann, Andromachi Tsirou, Alexis Kalogeropoulos, Andrea Rizzi, Thomas Muller, David Vannerom, Albert Perez, Alessandro Caratelli, François Robert, Davide Ceresa, Yong Yang, Ajay Kumar, Ashish Sharma, Georgios Anagnostou, Kai Yi, Jing Li, Stefano Michelis, David Parker, Martin Fuchs