A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis

no code implementations • 11 Jul 2023 • Guoyao Deng, Ke Zou, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu

To achieve this, we employ multiple expert models to extract evidence from the abundant neural network information contained in fMRI images.

Decision Making

SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image

no code implementations • 11 Jul 2023 • Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu

Recently, Segmenting Anything has taken an important step towards general artificial intelligence.

Fairness

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification

no code implementations • 8 Apr 2023 • Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Daoqiang Zhang, Rick Siow Mong Goh, Yong liu, Chi Pui Pang, Xinjian Chen, Haoyu Chen, Huazhu Fu

Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies.

Anomaly Classification Open Set Learning