The Dresden in vivo OCT dataset for automatic middle ear segmentation

The Dresden in vivo OCT dataset for automatic middle ear segmentation

Abstract Endoscopic optical coherence tomography (OCT) offers a non-invasive approach to perform the morphological and functional assessment of the middle ear in vivo. However, interpreting such OCT images is challenging and time-consuming due to the shadowing of preceding structures. Deep neural ne...

Full description

Bibliographic Details
Main Authors: Peng Liu, Svea Steuer, Jonas Golde, Joseph Morgenstern, Yujia Hu, Catherina Schieffer, Steffen Ossmann, Lars Kirsten, Sebastian Bodenstedt, Micha Pfeiffer, Stefanie Speidel, Edmund Koch, Marcus Neudert
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-03000-0

Similar Items

Similar Items