Breast tumor classification using adam and optuna model optimization based on CNN architecture
Christy Atika Sari,
Eko Hari Rachmawanto,
Erna Daniati
et al.
Abstract:Breast cancer presents a significant challenge due to its complexity and the urgency of the intervention required to prevent metastasis and potential fatality. This article highlights the innovative application of Convolutional Neural Networks (CNN) in breast tumor classification, marking substantial progress in the field. The key to this advancement is the collaboration among medical professionals, scientists, and artificial intelligence experts, which maximizes the potential of technology. The research invol… Show more
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