LExNet: A bio-inspired lightweight ensemble model for breast cancer classification using hybrid autoencoder and swarm intelligence optimization.

Autoencoder feature extraction performance The autoencoder training loss curve in Figure 2 illustrates a clear trend of rapidly decreasing reconstruction loss, starting from an initial value of approximately 0.70 and sharply dropping to nearly 0.50 within the first two epochs.

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