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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Vydané v:	Proceedings (International Symposium on Biomedical Imaging) s. 1 - 5
Hlavní autori:	Backova, Lenka, Bengoetxea, Guillermo, Rogalla, Svana, Franco-Barranco, Daniel, Solon, Jerome, Arganda-Carreras, Ignacio
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.04.2023
Predmet:	deep learning Distance measurement Distortion Embryo Medical services Neural networks Predictive models Transformers video prediction Wound healing
ISSN:	1945-8452
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