no code implementations • 9 May 2024 • Zhihan Ju, Wanting Zhou
To this end, we propose the Vision Mamba DDPM (VM-DDPM) based on State Space Model (SSM), fully combining CNN local perception and SSM global modeling capabilities, while maintaining linear computational complexity.
no code implementations • 8 May 2024 • Zhihan Ju, Wanting Zhou, Longteng Kong, Yu Chen, Yi Li, Zhenan Sun, Caifeng Shan
However, due to the complexity of medical images and similar characteristics of different tissue cells, existing methods face great challenges in meeting their biological consistency.
no code implementations • 2 Nov 2022 • Hao Dang, Yuekai Zhang, Xingqun Qi, Wanting Zhou, Muyi Sun
To tackle this problem, we propose \textbf{LightVessel}, a Similarity Knowledge Distillation Framework, for lightweight coronary artery vessel segmentation.
no code implementations • 6 Apr 2022 • Zhuojie Wu, Xingqun Qi, Zijian Wang, Wanting Zhou, Kun Yuan, Muyi Sun, Zhenan Sun
Furthermore, to better improve the inter-coordination between the corrupted and non-corrupted regions and enhance the intra-coordination in corrupted regions, we design InCo2 Loss, a pair of similarity based losses to constrain the feature consistency.
no code implementations • 26 Aug 2021 • Zhuojie Wu, Zijian Wang, Wenxuan Zou, Fan Ji, Hao Dang, Wanting Zhou, Muyi Sun
In the three-dimensional feature learning path, we design a novel Adaptive Pooling Module (APM) and propose a new Quadruple Attention Module (QAM).