End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks

Despite the increasing use of deep learning in medical image segmentation, acquiring sufficient training data remains a challenge in the medical field. In response, data augmentation techniques have been proposed; however, the generation of diverse and realistic medical images and their correspondin...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Aghiles Kebaili, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 17.11.2023
Schlagworte:	Data acquisition Data augmentation Image acquisition Image processing Image quality Image segmentation Machine learning Masks Medical imaging Tumors
ISSN:	2331-8422
Online-Zugang:	Volltext
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