EVA
CERNADAS GARCIA
Profesora titular de universidade
Instituto de Investigacións Mariñas
Vigo, EspañaPublikationen in Zusammenarbeit mit Forschern von Instituto de Investigacións Mariñas (10)
2023
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MSCF: Multi-Scale Canny Filter to Recognize Cells in Microscopic Images
Sustainability (Switzerland), Vol. 15, Núm. 18
2021
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Sterapp: Semiautomatic software for stereological analysis. application in the estimation of fish fecundity
Electronics (Switzerland), Vol. 10, Núm. 12
2016
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Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images
Computers and Electronics in Agriculture, Vol. 125, pp. 89-98
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On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes
Neural Processing Letters, Vol. 44, Núm. 2, pp. 555-570
2015
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A multi-platform graphical software for determining reproductive parameters in fishes using histological image analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary
Pattern Recognition, Vol. 46, Núm. 9, pp. 2391-2407
2008
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Recognize and classify fish oocytes in histological images
Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008
2007
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Age reading of cod otoliths based on image morphing, filtering and fourier analysis
Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
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Combining region and edge information to extract fish oocytes in histological images
Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
2006
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Comparison of region and edge segmentation approaches to recognize fish oocytes in histological images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)