Huadong Liu

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

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…