StyleSegor is an efficient and easy-to-use strategy to alleviate this inconsistency issue . Neural style transfer algorithm is applied to unlabeled data in order to minimize differences in image properties between labeled and labeled data . On a publicly available whole heart segmentation benchmarking dataset from MICCAI HVSMR 2016 challenge, we have demonstrated an elevated dice accuracy surpassing current state-of-the-art method and notably, an improvement of the total score by 29.91\% . The tool is available at https://://://github.com/horsepurve/StyleSegor and available at http://www.hopepurve.com/. The tool has been corroborated to be an accurate tool for 3D whole heart segmentsation especially on highly inconsistent data, and is available in its public domain domain, and can be downloaded from the public domain. It is available to download from http://http://gareare.com.com

Links: PDF - Abstract

Code :

https://github.com/horsepurve/StyleSegor

Keywords : data - domain - http - tool - heart -

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