Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers

Wound healing is a fundamental mechanism for living animals. Understanding the process is crucial for numerous medical applications ranging from scarless healing to faster tissue regeneration and safer post-surgery recovery. In this work, we collect a dataset of time-lapse sequences of Drosophila em...

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Veröffentlicht in:	Proceedings (International Symposium on Biomedical Imaging) S. 1 - 5
Hauptverfasser:	Backova, Lenka, Bengoetxea, Guillermo, Rogalla, Svana, Franco-Barranco, Daniel, Solon, Jerome, Arganda-Carreras, Ignacio
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.04.2023
Schlagworte:	deep learning Distance measurement Distortion Embryo Medical services Neural networks Predictive models Transformers video prediction Wound healing
ISSN:	1945-8452
Online-Zugang:	Volltext
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