Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning wit...
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
Detecting and segmenting individual cells from microscopy images is critical to various life science applications. Traditional cell segmentation tools are often ill-suited for applications in brightfield microscopy due to poor contrast and intensity heterogeneity, and only a small subset are applicable to segment cells in a cluster. In this regard,...
Alternative Titles
Full title
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2405088404
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2405088404
Other Identifiers
E-ISSN
2331-8422
