This paper introduces Weak-Mamba-UNet, an innovative weakly-supervised learning (WSL) framework that leverages the capabilities of Convolutional Neural Network (CNN), Vision Transformer (ViT), and the cutting-edge Visual Mamba (VMamba) architecture for medical image segmentation, especially when ...
比如Weak-Mamba-UNet等网络架构通过结合两者优势,有效地解决了医学图像中复杂的结构和模式识别问题,准确率高达99.63%。 另外还有HC-Mamba、InsectMamba等,都是最新提出的效果nice的结合成果。为帮助大家快速了解并掌握前沿,我挑选并整理了2024新发表的9篇Mamba+CNN高分论文,可参考的创新点都提炼好了,开源代码已附。#动...