SCSS-Net: Solar Corona Structures Segmentation by Deep Learning

  title={SCSS-Net: Solar Corona Structures Segmentation by Deep Learning},
  author={{\vS}imon Mackovjak and Martin Harman and Viera Maslej-Kre{\vs}ň{\'a}kov{\'a} and Peter Butka},
Structures in the solar corona are the main drivers of space weather processes that might directly or indirectly affect the Earth. Thanks to the most recent space-based solar observatories, with capabilities to acquire high-resolution images continuously, the structures in the solar corona can be monitored over the years with a time resolution of minutes. For this purpose, we have developed a method for automatic segmentation of solar corona structures observed in the EUV spectrum that is… 
1 Citations

Explainability of deep learning models in medical image classification

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    2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)
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