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A 3D reconstruction based on an unsupervised domain adaptive for binocular endoscopy
In minimally invasive surgery, endoscopic image quality plays a crucial role in surgery. Aiming at the lack of a real parallax in binocular endoscopic images, this article proposes an unsupervised adaptive neural network. The network combines adaptive smoke removal, depth estimation of binocular end...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475117/ https://www.ncbi.nlm.nih.gov/pubmed/36117683 http://dx.doi.org/10.3389/fphys.2022.994343 |