Application of deep learning algorithms to single-cell segmentation and phenotypic profiling

Moshkov Nikita
Application of deep learning algorithms to single-cell segmentation and phenotypic profiling.
Doctoral thesis (PhD), University of Szeged.
(2022)

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Item Type: Thesis (Doctoral thesis (PhD))
Creators: Moshkov Nikita
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Kertész-Farkas Attila
PhD
10064928
Horváth Péter
PhD, Biokémiai Intézet SZBK
10030964
Caicedo Juan C.
UNSPECIFIED
UNSPECIFIED
Subjects: 03. Medical and health sciences > 03.01. Basic medicine
Divisions: Doctoral School of Interdisciplinary Sciences
Discipline: Medicine > Theoretical Medicine
Language: English
Date: 2022. October 27.
Item ID: 11423
MTMT identifier of the thesis: 34118894
doi: https://doi.org/10.14232/phd.11423
Date Deposited: 2022. Aug. 17. 07:38
Last Modified: 2023. Aug. 30. 09:52
Depository no.: B 7031
URI: https://doktori.bibl.u-szeged.hu/id/eprint/11423
Defence/Citable status: Defended.

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