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Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies

SARAH COSTA, Hassan Eshkiki Orcid Logo, Fabio Caraffini Orcid Logo, Christopher George Orcid Logo

Lecture Notes in Computer Science, Volume: 16039, Pages: 351 - 365

Swansea University Authors: SARAH COSTA, Hassan Eshkiki Orcid Logo, Fabio Caraffini Orcid Logo, Christopher George Orcid Logo

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DOI (Published version): 10.1007/978-3-032-00656-1_26

Abstract

Cardiac cell network segmentation is uniquely challenging because cardiomyocytes, unlike other cell types, form morphologically complex multicellular structures, causing generalist models like Cellpose to oversegment and perform inaccurately. We use our unique live cell imaging dataset of self-organ...

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Published in: Lecture Notes in Computer Science
ISBN: 9783032006554 9783032006561
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa69568
Abstract: Cardiac cell network segmentation is uniquely challenging because cardiomyocytes, unlike other cell types, form morphologically complex multicellular structures, causing generalist models like Cellpose to oversegment and perform inaccurately. We use our unique live cell imaging dataset of self-organised HL-1 networks to propose and assess various algorithmic configurations based on combinations of the Cellpose model and the Segment Anything Model, equipped with multiple pre- and post-processing routines. Our results demonstrate the advantages of integrating equalisation-based pre-processing with median filtering, fine-tuning Cellpose and incorporating our post-processing routine into the segmentation pipeline, achieving up to 85% accuracy, 96% recall, 91% DICE and 88% precision, while mitigating oversegmentation.
Keywords: Cell Segmentation; Cellpose; Segment Anything Model; Cardiomyocyte Networks
College: Faculty of Science and Engineering
Funders: Supported by the Morgan Advanced Studies Institute, Wales, UK; the National Cardiovascular Research Network (funded by Health and Care Research Wales); the British Heart Foundation.
Start Page: 351
End Page: 365

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