Abstract: Brain Tumor is a significant health challenge, with early, precise detection crucial for improving patient outcomes. Traditional diagnostics methods depend on expert radiologists, leading to ...
Abstract: This study proposes a general multi-class hierarchical random network with an arbitrary number of agents and an arbitrary connecting success probability to analyze the minimum communication ...
Self-Attention Generator (G++): SAGAN-style self-attention block at 16×16 resolution for long-range spatial dependencies CLIP-Enhanced Dual-Head Discriminator (D++): Multimodal discriminator with real ...
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