69 citations
- Harbin Institute of TechnologyCN4 papers
- Case Western Reserve UniversityUS2 papers
- Northeast Normal UniversityCN2 papers
- Alibaba Group (China)CN1 paper
- Baidu (China)CN1 paper
- Barcelona Institute of Science and TechnologyES1 paper
- CEA Paris-SaclayFR1 paper
- Central South UniversityCN1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- China-Japan Friendship HospitalCN1 paper
- Chinese Academy of SciencesCN1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
4 papers · 1 filter
KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation
Fanding Li, Chenglin Wang, Xiangyu Li +9
Ambiguous medical image segmentation aims to provide a series of diverse but plausible segmentation hypotheses. However, existing methods introduce stochasticity in a fixed and pre…
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
Fanding Li, Xiangyu Li, Xianghe Su +6
A simultaneous enhancement of accuracy and diversity of predictions remains a challenge in ambiguous medical image segmentation (AMIS) due to the inherent trade-offs. While truncat…
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Yuetan Chu, Gongning Luo, Longxi Zhou +13
Pulmonary artery-vein segmentation is crucial for disease diagnosis and surgical planning and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However…
A Miniaturized Semantic Segmentation Method for Remote Sensing Image
Shou-Yu Chen, Guang-Sheng Chen, Wei-Peng Jing
In order to save the memory, we propose a miniaturization method for neural network to reduce the parameter quantity existed in remote sensing (RS) image semantic segmentation mode…