PCMamba: Integrating partial convolution and state space models for lung cancer histopathological image classification
PCMamba integrates Partial Convolution with State Space Models for lung cancer classification and dual-branch design captures both local textures and long-range tissue dependencies, reducing computational cost by 75% while maintaining state-of-the-art performance.