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Fangyi Xu

2 accepted papers

2025

2.5D Top-K Ranked Multiple Instance Learning to Classify NSCLC PD-L1 Status on CT Images

Rui Xu, Huadong Liu, Yongcen Li, Xinchen Ye, Zhihui Wang, Hongkai Wang +7
ICASSP 2025accepted

Classifying the status of NSCLC PD-L1 on chest CT is a cost-effective and non-invasive method. The existing multiple instance learning (MIL) methods are not effective for this task, due to the lack of an efficient feature encoder for 3D instances and ignoring the importance of representative instanc…

Cited by 0Source ↗Scholar ↗
2022

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions

Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu +7
ICASSP 2022accepted

Automatic segmentation of COVID-19 lesions is essential for computer-aided diagnosis. However, this task remains challenging because widely-used supervised based methods require large-scale annotated data that is difficult to obtain. Although an unsupervised method based on anomaly detection has sho…

Cited by 0Source ↗Scholar ↗