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Resolving complex cartilage structures in developmental biology via deep learning-based automatic segmentation of X-ray computed microtomography images

Abstract The complex shape of embryonic cartilage represents a true challenge for phenotyping and basic understanding of skeletal development. X-ray computed microtomography (μCT) enables inspecting relevant tissues in all three dimensions; however, most 3D models are still created by manual segment...

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Principais autores: Jan Matula, Veronika Polakova, Jakub Salplachta, Marketa Tesarova, Tomas Zikmund, Marketa Kaucka, Igor Adameyko, Jozef Kaiser
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2022-05-01
Series:Scientific Reports
Acceso en liña:https://doi.org/10.1038/s41598-022-12329-8
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