An end-to-end deep learning pipeline for hematoma expansion prediction in spontaneous intracerebral hemorrhage based on non-contrast computed tomography - Poll - MDSpire

An end-to-end deep learning pipeline for hematoma expansion prediction in spontaneous intracerebral hemorrhage based on non-contrast computed tomography

  • By

  • Qiang Yu

  • Xin Fan

  • Jinwei Li

  • Qianyu Hao

  • Youquan Ning

  • Shichao Long

  • Wenhao Jiang

  • Fajin Lv

  • Xianlei Yan

  • Quan Liu

  • Xiaoquan Xu

  • Zongqian Wu

  • Juan Peng

  • Min Wu

  • December 7, 2025

  • 0 min

Share

Original Source(s)

An end-to-end deep learning pipeline for hematoma expansion prediction in spontaneous intracerebral hemorrhage based on non-contrast computed tomography

  • by Qiang Yu, Xin Fan, Jinwei Li, Qianyu Hao, Youquan Ning, Shichao Long, Wenhao Jiang, Fajin Lv, Xianlei Yan, Quan Liu, Xiaoquan Xu, Zongqian Wu, Juan Peng, Min Wu

  • December 7, 2025

Related Content

PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images

Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype

Interpretable deep learning for multicenter gastric cancer T staging from CT images