Towards Precision Cardiovascular Analysis in Zebrafish: The ZACAF Paradigm

arXiv:2402.09658v1 Announce Type: cross
Abstract: Quantifying cardiovascular parameters like ejection fraction in zebrafish as a host of biological investigations has been extensively studied. Since current manual monitoring techniques are time-consuming and fallible, several image processing frameworks have been proposed to automate the process. Most of these works rely on supervised deep-learning architectures. However, supervised methods tend to be overfitted on their training dataset. This means that applying the same framework to new data with different imaging setups and mutant types …

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