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AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Fatehi, Arash, Unnersjö-Jess, David, Butt, Linus, Moreau, Noémie, Benzing, Thomas, Bozek, Katarzyna
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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