Deep Learning-Based Automated Cell Detection and Classification in Fluorescence Microscopy Images.

dc.contributor.advisorAlon Grinbaum, Chair
dc.contributor.advisorDonald Freytes, Member
dc.contributor.advisorShahar Kovalsky, Inter-Institutional
dc.contributor.advisorKe Cheng, Member
dc.contributor.advisorTroy Ghashghaei, Graduate School Representative
dc.contributor.authorCai, Yuheng
dc.date.accepted2024-03-27
dc.date.accessioned2024-03-28T12:30:39Z
dc.date.available2024-03-28T12:30:39Z
dc.date.defense2024-02-23
dc.date.issued2024-02-23
dc.date.released2024-03-28
dc.date.reviewed2024-03-05
dc.date.submitted2024-02-29
dc.degree.disciplineBiomedical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg36535
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41608
dc.titleDeep Learning-Based Automated Cell Detection and Classification in Fluorescence Microscopy Images.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
4.53 MB
Format:
Adobe Portable Document Format

Collections