Jenhui Chen

ESCA-Net: Knowledge-Guided Encoder-Shared Classification and Auxiliary Segmentation Network for Multi-Label Catheter Malposition Assessment in Chest Radiographs.

Malpositioned medical tubes and catheters are a persistent source of iatrogenic harm in critical care, yet the radiographic interpretation burden on intensive care units remains substantial. We present ESCA-Net, a knowledge-guided dual-task deep learning framework for simultaneous multi-label classification of endotrac...