Optimizing CNN architecture for quality control of corneal confocal microscopy images using a genetic algorithm
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Author (Corporation)
Publication date
2025
Type of student thesis
Course of study
Collections
Type
04B - Conference paper
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Parent work
Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)
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Series
Lecture Notes in Networks and Systems
Series number
1245
Volume
2
Issue / Number
Pages / Duration
46-58
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
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Event
15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)
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ISBN
978-3-031-81082-4
978-3-031-81083-1
978-3-031-81083-1
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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peer-reviewed
Open access category
Closed
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Citation
Gachnang - Bönhof, B., Hanne, T., Dornberger, R., Gachnang, P., & Bönhof, G. J. (2025). Optimizing CNN architecture for quality control of corneal confocal microscopy images using a genetic algorithm. In K. Ma, A. Abraham, & A. Bajaj (Eds.), Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) (Vol. 2, pp. 46–58). Springer. https://doi.org/10.1007/978-3-031-81083-1_5