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Self-supervised Monocular Depth Estimation with 3D Displacement Module for Laparoscopic Images
We present a novel self-supervised training framework with 3D displacement (3DD) module for accurately estimating per-pixel depth maps from single laparoscopic images. Recently, several self-supervised learning based monocular depth estimation models have achieved good results on the KITTI dataset,...
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| Publicado no: | IEEE Trans Med Robot Bionics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2022
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613618/ https://ncbi.nlm.nih.gov/pubmed/36148138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMRB.2022.3170206 |
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