Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT

Abstract Background The intricate three-dimensional anatomy of the inner ear presents significant challenges in diagnostic procedures and critical surgical interventions. Recent advancements in deep learning (DL), particularly convolutional neural networks (CNN), have shown promise for segmenting sp...

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Detalhes bibliográficos

Principais autores:	Jonathan Lim, Aurore Abily, Douraïed Ben Salem, Loïc Gaillandre, Arnaud Attye, Julien Ognard
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2024-09-01
coleção:	European Radiology Experimental
Assuntos:	Artificial intelligence Ear (inner) Image processing (computer-assisted) Neural networks (computer) Tomography (x-ray computed)
Acesso em linha:	https://doi.org/10.1186/s41747-024-00508-3
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