Saliency-assisted multi-label classification for explainable deep learning applications in endoscopic ENT navigation

Saliency-assisted multi-label classification for explainable deep learning applications in endoscopic ENT navigation

Introduction: In endoscopic procedures of the nasal sinuses, a critical issue for classification tasks is the ambiguous anatomical representations due to their complex composition. We investigated the potential of multi-label image-based classifications of sinus landmark combinations together with e...

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Bibliographic Details
Main Authors: Bieck Richard, Heuermann Katharina, Sorge Martin, Neumuth Thomas, Pirlich Markus
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
deep learning
convolutional neural networks
explainability
interpretable machine learning
fess
Online Access:https://doi.org/10.1515/cdbme-2022-1152

Internet

https://doi.org/10.1515/cdbme-2022-1152

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