On the surprisingly accurate transfer of image parameters between medical and solar images

In this work we report on the transfer of image parameters that produce good results for medical images to the domain of solar image analysis. Using the first solar domain-specific benchmark dataset that contains multiple types of solar phenomena we discovered during our work for constructing a content-based image retrieval (CBIR) system for NASA's Solar Dynamics Observatory (SDO) mission that we could take advantage of the research on the analysis of images in the medical field. We demonstrate that, while image analysis is a very domain-specific task, there are lessons to be learned and methods to be shared between different fields. In this paper we present an extensive comparative analysis of several different domain-specific datasets in order to provide some guidance for the solar physics community on the well-researched field of medical image analysis allowing them to transfer knowledge from one applied field to their own.

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