BioLite U-Net: Edge-Deployable Semantic Segmentation for In Situ Bioprinting Monitoring

Fuente: arXiv

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Bibliographic Details
Main Authors:	Haider, Usman, Szemet, Lukasz, Kelly, Daniel, Sergis, Vasileios, Daly, Andrew C., Mason, Karl
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Hardware Architecture N/A I.2.9; I.2.10; I.4.6
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.06690