2023年10月25日 · 本文提出一种用于半监督医学图像分割的新框架mcf，使网络能够意识到自己的错误，并通过子网间比较进行偏差纠正。 为了释放双子网结构的潜力，MCF引入了两个不同 …

propose a new framework MCF for semi-supervised medical image segmentation. A CDR module is proposed to guide the network to pay attention and correct its own potential bias. Combined …

We propose a novel mutual correction framework (MCF) to explore network bias correction and improve the performance of SSMIS. Inspired by the plain contrast idea, MCF introduces two …

2013年3月6日 · title = {MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision …

MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation. MCF-train运行视频.mp4与MCF-test运行视频.mp4为demo演示视频. 环境配置：

2024年9月12日 · 由一群卓越的研究者开发，MCF专为解决医学图像分割中的标注难题而设计，以其创新的双向校正机制，极大地提升了模型性能，即便是在标注数据稀缺的情况下。 MCF框 …

A new method called Mutual Correction Framework (MCF) improves the accuracy of medical image segmentation by helping the network correct its mistakes. It uses two subnets to …

In this paper, we propose an end-to-end deep learning network, Multi-layer Concatenation Fusion Network (MCFNet), for feature extraction, feature fusion and image reconstruction without …

2021年9月21日 · In this paper, we propose a novel mutual consistency network (MC-Net+) to effectively exploit the unlabeled data for semi-supervised medical image segmentation. The …

2022年11月1日 · In order to enhance the diagnosis efficiency and accuracy, we have presented a novel MCF-Net using an encoding-decoding framework for automatic medical image …