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pro vyhledávání: '"Tanjin T Toma"'
Autor:
Ji Zhang, Yibo Wang, Eric D. Donarski, Tanjin T. Toma, Madeline T. Miles, Scott T. Acton, Andreas Gahlmann
Publikováno v:
npj Biofilms and Microbiomes, Vol 8, Iss 1, Pp 1-13 (2022)
Abstract Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence time-lapse images is essential for observing individual cell behaviors in large bacterial communities called biofilms. Recent progress in machine-lear
Externí odkaz:
https://doaj.org/article/bebe01b8a0d442158f142d7e437a16c8
Publikováno v:
BMC Medical Genomics, Vol 11, Iss S5, Pp 75-87 (2018)
Abstract Background While continental level ancestry is relatively simple using genomic information, distinguishing between individuals from closely associated sub-populations (e.g., from the same continent) is still a difficult challenge. Methods We
Externí odkaz:
https://doaj.org/article/1a9540bb7ee544e5b5728f1eb6c5effb
Publikováno v:
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-1 (2019)
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Externí odkaz:
https://doaj.org/article/92cac06fdba648e6bcee966208cdfe0d
Publikováno v:
Bioinformatics
Motivation Data-driven deep learning techniques usually require a large quantity of labeled training data to achieve reliable solutions in bioimage analysis. However, noisy image conditions and high cell density in bacterial biofilm images make 3D ce
Autor:
Ji Zhang, Yibo Wang, Eric D. Donarski, Tanjin T. Toma, Madeline T. Miles, Scott T. Acton, Andreas Gahlmann
Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence timelapse images is essential for observing individual cell behaviors in large bacterial communities called biofilms. Recent progress in machine-learning-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1908d37c1b905af10ffa8009795109bf
https://doi.org/10.1101/2021.11.26.470109
https://doi.org/10.1101/2021.11.26.470109