SuRVoS: Super-Region Volume Segmentation workbench

SuRVoS: Super-Region Volume Segmentation workbench

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 ch...

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Bibliographic Details
Main Authors: Luengo, Imanol, Darrow, Michele C., Spink, Matthew C., Sun, Ying, Dai, Wei, He, Cynthia Y., Chiu, Wah, Pridmore, Tony, Ashton, Alun W., Duke, Elizabeth M.H., Basham, Mark, French, Andrew P.
Format: Article
Published: Elsevier 2017
Subjects:
Interactive segmentation; Hierarchical segmentation; Super-Regions; Semi-supervised learning; Cryo soft X-ray tomography; Cryo electron tomography
Online Access:https://eprints.nottingham.ac.uk/41190/

Internet

https://eprints.nottingham.ac.uk/41190/

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