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Simunovic MP

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Articles

Deep ocular tumor classification model using cuckoo search algorithm and Caputo fractional gradient descent

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By Ali TAA, Ningbo Zhu, Mundher Mohammed Taresh, Simunovic MP
| PeerJ
In this section, we emphasize the key insights drawn from our findings. Our experiments facilitated the examination of various evaluation metrics, revealing that the CSA-CFGD algorithm consistently outperformed competing methods in terms of both mean accuracy and stability across each model. Particularly noteworthy is the exceptional performance of the CSA-CFGD algorithm when paired with the GoogLeNet model, achieving an impressive mean accuracy of 87.62%.
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