Dynamic Consistency-Aware Multi-View Learning with SAM3 for 3D Medical Image Segmentation
Three-dimensional medical image segmentation is critical for clinical diagnosis and treatment planning. Medical images typically exhibit heterogeneous characteristics of low inter-slice resolution and high in-plane resolution, leading 3D CNNs to lose fine edge details via cross-slice feature averaging and traditional 2...