USCNet integrates CT scans and EHR data via multimodal transformer fusion and segmentation guidance to outperform prior methods in preoperative urolithiasis classification on an in-house dataset.
Ehr-hgcn: An enhanced hybrid approach for text classification using heterogeneous graph convolutional networks in electronic health records
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
USCNet: Transformer-Based Multimodal Fusion with Segmentation Guidance for Urolithiasis Classification
USCNet integrates CT scans and EHR data via multimodal transformer fusion and segmentation guidance to outperform prior methods in preoperative urolithiasis classification on an in-house dataset.