FISICO: Fast Image SegmentatIon COrrection.

ABSTRACT:

Background and purpose

In clinical diagnosis, medical image segmentation plays a key role in the analysis of pathological regions. Despite advances in automatic and semi-automatic segmentation techniques, time-effective correction tools are commonly needed to improve segmentation results. Therefore, these tools must provide faster corrections with a lower number of interactions, and a user-independent solution to reduce the time frame between image acquisition and diagnosis.

Methods

We present a new interactive method for correcting image segmentations. Our method provides 3D shape corrections through 2D interactions. This approach enables an intuitive and natural corrections of 3D segmentation results. The developed method has been implemented into a software tool and has b

SUBMITTER: Valenzuela W 

PROVIDER: S-EPMC4880324 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature