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Putri Taqwa Prasetyaningrum

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Open access Jul 2026

COMPARATIVE ANALYSIS OF TRANSFER LEARNING PERFORMANCE USING VGG16 AND XCEPTION ARCHITECTURES FOR BREAST CANCER HISTOPATHOLOGICAL IMAGE CLASSIFICATION

It is suggested that Xception is the more suitable architecture for breast cancer Computer-Aided Diagnosis (CAD) system development, particularly where diagnostic sensitivity and overall accuracy outweigh computational cost.

Raden Roro Christawani Herawati, P. Prasetyaningrum · 0 citations

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