Fig. 7 | Scientific Reports

Fig. 7

From: MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI

Fig. 7

Architectural Details of Dynamic Attention Block: The DA block adapts MobileNetV2 features via 1 × 1 convolution, applies multi-head self-attention with residuals and normalization for stable learning. And refines outputs using a lightweight MLP before classification. Unlike ViTs, it avoids tokenization and positional encoding, enabling efficient global context modelling.

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