Deep Learning-Based Instance Segmentation of Neural Progenitor Cell Nuclei in Fluorescence Microscopy Images

In this work, a Deep Learning-based machine vision model was devel- oped for the detection, segmentation and counting of Neural Progenitor Cell nuclei from fluorescence microscopy images. The cells were obtained from adult mice and cultivated in vitro, with cellular nuclei labeled using DAPI...

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Detalles Bibliográficos
Autores principales:	Pérez, Gabriel, Russo, Claudia, Palumbo, María Laura, Moroni, Alejandro David
Formato:	Documento de conferencia publishedVersion
Lenguaje:	Inglés
Publicado:	Springer Nature Switzerland AG 2025
Materias:	Instance segmentation Deep Learning Fluorescence Microscopy Cell Nuclei
Acceso en línea:	http://repositorio.unnoba.edu.ar/xmlui/handle/23601/905
Aporte de:	Re DI Repositorio Digital UNNOBA de Universidad Nacional del Noroeste de la Provincia de Buenos Aires

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