nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark
Detection with State Space Model
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark
Detection with State Space Model
In the field of biomedical image analysis, the quest for architectures capable of effectively capturing long-range dependencies is paramount, especially when dealing with 3D image segmentation, classification, and landmark detection. Traditional Convolutional Neural Networks (CNNs) struggle with locality respective field, and Transformers have a heavy computational load when applied to …