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Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks

Fabio Caraffini Orcid Logo, Hassan Eshkiki Orcid Logo, Mostafa Mohammadpour Orcid Logo, Nikol Sullo Orcid Logo, Christopher George Orcid Logo

Lecture Notes in Computer Science, Volume: 14976, Pages: 104 - 117

Swansea University Authors: Fabio Caraffini Orcid Logo, Hassan Eshkiki Orcid Logo, Nikol Sullo Orcid Logo, Christopher George Orcid Logo

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DOI (Published version): 10.1007/978-3-031-67285-9_8

Published in: Lecture Notes in Computer Science
ISBN: 9783031672842 9783031672859
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67383
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last_indexed 2024-11-25T14:20:04Z
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spelling 2024-10-01T12:13:35.3050954 v2 67383 2024-08-15 Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false c9972b26a83de11ffe211070f26fe16b 0000-0001-7795-453X Hassan Eshkiki Hassan Eshkiki true false a2c2be54c418e779fd6a010486e1c730 0000-0002-9885-5474 Nikol Sullo Nikol Sullo true false a2e211f7bd379c81e9c393637803a0a0 0000-0001-9852-1135 Christopher George Christopher George true false 2024-08-15 MACS Conference Paper/Proceeding/Abstract Lecture Notes in Computer Science 14976 104 117 Springer Nature Switzerland Cham 9783031672842 9783031672859 0302-9743 1611-3349 Cell Network; Cardiomyocytes, Segmentation; Cellpose; AI 15 8 2024 2024-08-15 10.1007/978-3-031-67285-9_8 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required Morgan Advanced Studies Institute, National Cardiovascular Research Network (funded by Health and Care Research Wales), British Heart Foundation. MASI Summit "Cell network deterioration: understanding and predicting disease" 2024-10-01T12:13:35.3050954 2024-08-15T13:34:13.1282479 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Fabio Caraffini 0000-0001-9199-7368 1 Hassan Eshkiki 0000-0001-7795-453X 2 Mostafa Mohammadpour 0000-0002-9064-6504 3 Nikol Sullo 0000-0002-9885-5474 4 Christopher George 0000-0001-9852-1135 5 67383__31127__b3cd070144314fdeb4449452ca720e7f.pdf LEAP_BH_MASI.pdf 2024-08-15T13:46:24.3386285 Output 5366856 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
spellingShingle Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
Fabio Caraffini
Hassan Eshkiki
Nikol Sullo
Christopher George
title_short Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_full Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_fullStr Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_full_unstemmed Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_sort Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
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author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
c9972b26a83de11ffe211070f26fe16b_***_Hassan Eshkiki
a2c2be54c418e779fd6a010486e1c730_***_Nikol Sullo
a2e211f7bd379c81e9c393637803a0a0_***_Christopher George
author Fabio Caraffini
Hassan Eshkiki
Nikol Sullo
Christopher George
author2 Fabio Caraffini
Hassan Eshkiki
Mostafa Mohammadpour
Nikol Sullo
Christopher George
format Conference Paper/Proceeding/Abstract
container_title Lecture Notes in Computer Science
container_volume 14976
container_start_page 104
publishDate 2024
institution Swansea University
isbn 9783031672842
9783031672859
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-031-67285-9_8
publisher Springer Nature Switzerland
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hierarchy_parent_id facultyofscienceandengineering
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published_date 2024-08-15T14:42:53Z
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