On Efficient Segmentation of Parapharyngeal Fat Pads From Population-based MRIs: An Obstructive Sleep Apnea Application

The main purpose of our project was to automatically delineate parapharyngeal fat pads from magnetic resonance imaging (MR) data, since these structures are considered important for diagnosis of obstructive sleep apnea syndrome (OSAS). Here, we investigate the problem, discuss possible data choices,...

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Veröffentlicht in:	2021 6th International Conference on Communication, Image and Signal Processing (CCISP) S. 178 - 182
Hauptverfasser:	Ivanovska, Tatyana, Daboul, Amro, Kalentev, Oleksandr, Hosten, Norbert, Volzke, Henry, Biffar, Reiner, Worgotter, Florentin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2021
Schlagworte:	Image segmentation Magnetic resonance imaging Medical image processing Observers segmentation Signal processing Sleep apnea Three-dimensional displays Training
Online-Zugang:	Volltext
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