HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

arXiv:2405.05007v1 Announce Type: cross
Abstract: Automatic medical image segmentation technology has the potential to expedite pathological diagnoses, thereby enhancing the efficiency of patient care. However, medical images often have complex textures and structures, and the models often face the problem of reduced image resolution and information loss due to downsampling. To address this issue, we propose HC-Mamba, a new medical image segmentation model based on the modern state space model Mamba. Specifically, we introduce the technique of dilated convolution in …

abstract arxiv convolutional cs.cv eess.iv efficiency face however hybrid image images information loss mamba medical patient patient care resolution segmentation technology type vision