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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Vydáno v:	arXiv.org
Hlavní autoři:	Aghiles Kebaili, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su
Médium:	Paper
Jazyk:	angličtina
Vydáno:	Ithaca Cornell University Library, arXiv.org 17.11.2023
Témata:	Data acquisition Data augmentation Image acquisition Image processing Image quality Image segmentation Machine learning Masks Medical imaging Tumors
ISSN:	2331-8422
On-line přístup:	Získat plný text
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