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Machine Learning Methods for Automated Quantification of Ventricular Dimensions.
Zebrafish ( IF 2 ) Pub Date : 2019-10-03 , DOI: 10.1089/zeb.2019.1754
Mark Schutera 1 , Steffen Just 2 , Jakob Gierten 3, 4 , Ralf Mikut 1 , Markus Reischl 1 , Christian Pylatiuk 1
Affiliation  

Medaka (Oryzias latipes) and zebrafish (Danio rerio) contribute substantially to our understanding of the genetic and molecular etiology of human cardiovascular diseases. In this context, the quantification of important cardiac functional parameters is fundamental. We have developed a framework that segments the ventricle of a medaka hatchling from image sequences and subsequently quantifies ventricular dimensions.

中文翻译:

自动量化心室尺寸的机器学习方法。

Medaka(Oryzias latipes)和斑马鱼(Danio rerio)大大有助于我们对人类心血管疾病的遗传和分子病因学的理解。在这种情况下,重要的心脏功能参数的量化至关重要。我们已经开发出了一种框架,该框架可从图像序列中分割a幼体的心室,然后量化心室尺寸。
更新日期:2019-11-01
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