Anna Fabijańska
Lodz University of Technology
109 Papers
290 Citations
Anna Fabijańska is an academic researcher from Lodz University of Technology. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 14, co-authored 100 publications. Previous affiliations of Anna Fabijańska include University of Łódź.
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Papers
Extraction of Airways From CT (EXACT'09)
Pechin Lo,Bram van Ginneken,Joseph M. Reinhardt,Tarunashree Yavarna,Pim A. de Jong,Benjamin Irving,Catalin Fetita,Margarete Ortner,Romulo Pinho,Jan Sijbers,Marco Feuerstein,Anna Fabijańska,Christian Bauer,Reinhard Beichel,Carlos S. Mendoza,Rafael Wiemker,Jaesung Lee,Anthony P. Reeves,Silvia Born,Oliver Weinheimer,Eva M. van Rikxoort,Juerg Tschirren,Ken Mori,Benjamin L. Odry,David P. Naidich,Ieneke J. C. Hartmann,Eric A. Hoffman,Mathias Prokop,Jesper Holst Pedersen,Marleen de Bruijne +29 more
TL;DR: A fusion scheme that obtained superior results is presented, demonstrating that there is complementary information provided by the different algorithms and there is still room for further improvements in airway segmentation algorithms.
Segmentation of corneal endothelium images using a U-Net-based convolutional neural network.
TL;DR: This paper proposes to perform cell segmentation using a U-Net-based convolutional neural network that is trained to discriminate pixels located at the borders between cells and results in accurate values of the cell morphometric parameters.
113
Brain tumor segmentation from MRI data sets using region growing approach
Tomasz Węgliński,Anna Fabijańska +1 more
- 11 May 2011
TL;DR: The method is seeded region growing approach which was developed to segment the area of the brain affected by a tumor to locate various lesions and pathologies inside the human brain.
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Image processing and analysis algorithms for yarn hairiness determination
Anna Fabijańska,Lidia Jackowska-Strumiłło +1 more
- 01 May 2012
TL;DR: The developed image analysis algorithms quantify yarn hairiness by means of the two proposed measures such as hair area index and hair length index, which are compared to the USTER hairiness index, used nowadays in textile science, laboratories and industry.
Normalized cuts and watersheds for image segmentation
Anna Fabijańska
- 03 Jul 2012
TL;DR: The segmentation approach proposed in this paper overcomes limitations by incorporating watershed transform and normalized cuts and results are presented, compared with results of the original normalized cut method.
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