End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN
In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two-dimensional (2D) techniques when applied to 3D data due to the lack of global context. A critical t...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2025-01-01
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| Serie: | Frontiers in Bioinformatics |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fbinf.2024.1497539/full |
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