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Novel segmentation strategies for fully-automated analysis of yeast images

O'Brien, Jennifer and Hoque, Sanaul and Mulvihill, Daniel P. and Sirlantzis, Konstantinos (2017) Novel segmentation strategies for fully-automated analysis of yeast images. [Data Collection]

Description

Image data and ground truths associated with O'Brien et al.

Uncontrolled keywords: pombe, automated segmentation, image datasets, image groundtruths
Subjects: Q Science > QH Natural history > QH301 Biology
T Technology > T Technology (General)
DOI: 10.22024/UniKent/01.01/24
Divisions: Faculties (do not use) > Sciences (do not use) > School of Biosciences (do not use)
Faculties (do not use) > Social Sciences (do not use) > School of Anthropology and Conservation (do not use)
Depositing User: Daniel Mulvihill
Collection period:
From
To
2014
2017
Last Modified: 14 Apr 2022 12:51
Publication Date: 24 November 2017
URI: https://data.kent.ac.uk/id/eprint/24

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