We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
This paper presents a new method to find minimal paths in 3D images, giving as initial data one or two endpoints. This is based on previous work [1] for extracting paths in 2D ima...
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
We present a new method aimed at restoring structures in 3D US images. In our approach, 3D US data acquired with tilt devices is resampled into cylindrical coordinates with the pu...
Oscar Acosta, Hans Frimmel, Aaron Fenster, S&eacut...
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...