Software fP-CMC: Fast Patch-based Continuous Min-Cut segmentation
- 1. Computer Science Department, Technical University of Cluj-‐Napoca (UTCN)
- 2. Radiology Department, Center for Biomedical Imaging, Lausanne University and University Hospital
Description
This software presents a semi-‐supervised segmentation on framework for B-‐mode ultrasound imaging. It is applicable to any kind of target and imaging settings. Our methodology uses a graph of image patches to represent the ultrasound image and user-‐assisted initialization with labels, which acts as soft priors. The segmentation problem is formulated as a continuous minimum cut problem and solved with an efficient optimisation algorithm.
Works using fP-‐CMC should cite and it is based on the journal article below:
Anca Ciurte, Xavier Bresson, Olivier Cuisenaire, Nawal Houhou, Sergiu Nedevschi, Jean-‐Philippe Thiran, Meritxell Bach Cuadra, Semi-‐Supervised Segmentation of Ultrasound Images based on Patch Representation and Continuous Min Cut. Plos One, 9(7), p. e100972, 2014. https://doi.org/10.1371/journal.pone.0100972
This work is supported by PRODOC Project of Technical University of Cluj-Napoca and by the Center for Biomedical Imaging (CIBM) of the Geneva-Lausanne Universities and EPFL, and the foundations Leenaards and Louis-Jeantet, and by the FNS-205321-141283 and CTI-13741.1 funds.
Notes
Files
fP-CMC-PublicCode.zip
Files
(649.7 kB)
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Additional details
Related works
- Is supplement to
- Journal article: 10.1371/journal.pone.0100972 (DOI)
Funding
- Novel Image Processing Methods for Fetal MR Imaging: 3D Reconstruction and Segmentation with Soft Priors 205321_141283
- Swiss National Science Foundation