Confidence-aware self-supervised learning for dense monocular depth estimation in dynamic laparoscopic scene

This paper tackles the challenge of accurate depth estimation from monocular laparoscopic images in dynamic surgical environments. The lack of reliable ground truth due to inconsistencies within these images makes this a complex task. Further complicating the learning process is the presence of nois...

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Detalles Bibliográficos
Autores principales: Hirohata, Yasuhide, Sogabe, Maina, Miyazaki, Tetsuro, Kawase, Toshihiro, Kawashima, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505201/
https://www.ncbi.nlm.nih.gov/pubmed/37717055
http://dx.doi.org/10.1038/s41598-023-42713-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505201/
https://www.ncbi.nlm.nih.gov/pubmed/37717055
http://dx.doi.org/10.1038/s41598-023-42713-x

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