SuRVoS: Super-Region Volume Segmentation workbench.

ABSTRACT: Segmentation of biological volumes is a crucial step needed to fully analyse their scientific content. Not having access to convenient tools with which to segment or annotate the data means many biological volumes remain under-utilised. Automatic segmentation of biological volumes is still a very challenging research field, and current methods usually require a large amount of manually-produced training data to deliver a high-quality segmentation. However, the complex appearance of cellular features and the high variance from one sample to another, along with the time-consuming work of manually labelling complete volumes, makes the required training data very scarce or non-existent. Thus, fully automatic approaches are often infeasible for many practical applications. With the aim of unify

SUBMITTER: Luengo I 

PROVIDER: S-EPMC5405849 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature