ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism

Xinlei Yu, Ahmed Elazab, Ruiquan Ge, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Qing Wu, Xiang Wan, Lihua Li, Changmiao Wang

Abstract: Highlights•Novel network for intracerebral haemorrhage prognostic prediction.•Better cross-modal structure to fuse embeddings from text and image.•Multi-loss function with self-adaptive strategy for cross-modal optimization.•Better performance compared with other state-of-the-art methods on two datasets.•Comprehensive experiments and analysis on the components of the model.