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Cited article:

Fish age reading using deep learning methods for object-detection and segmentation

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ICES Journal of Marine Science (2024)
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Age Determination of the Azov Anchovy Engraulis encrasicolus maeoticus (Engraulidae) Based on the Otolith Image Analysis

M. V. Chesalin
Journal of Ichthyology 63 (3) 469 (2023)
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Age Determination of the Azov Anchovy Engraulis encrasicolus maeoticus (Engraulidae) Based on the Otolith Image Analysis

M. V. Chesalin
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Digital imaging techniques in otolith data capture, analysis and interpretation

M Fisher and E Hunter
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Methods and Agorithms to Analyze Growth Patterns in Biological Multilayer Structures

V.P. Vasil'kov and В.П. Васильков
Математическая биология и биоинформатика 4 (1) 21 (2009)
https://doi.org/10.17537/2009.4.21

Quality issues in the use of otoliths for fish age estimation

A. K. Morison, J. Burnett, W. J. McCurdy and E. Moksness
Marine and Freshwater Research 56 (5) 773 (2005)
https://doi.org/10.1071/MF04217

Use of deformable template for two-dimensional growth ring detection of otoliths by digital image processing:

H Troadec, A Benzinou, V Rodin and J Le Bihan
Fisheries Research 46 (1-3) 155 (2000)
https://doi.org/10.1016/S0165-7836(00)00142-9

Determination of Growth and Age of Slow Growing Brittle Stars (Echinodermata: Ophiuroidea) From Natural Growth Bands

Corinna Dahm and Thomas Brey
Journal of the Marine Biological Association of the United Kingdom 78 (3) 941 (1998)
https://doi.org/10.1017/S0025315400044891