Deep multimodal state-space fusion of endoscopic-radiomic and clinical data for survival prediction in colorectal cancer - Quiz - MDSpire

Deep multimodal state-space fusion of endoscopic-radiomic and clinical data for survival prediction in colorectal cancer

  • By

  • Ning Wang

  • Jiajing Lin

  • Wujin Li

  • Yahui Lyu

  • Yiqing Jiang

  • Zhizhan Ni

  • Qi Huang

  • Hong Chen

  • Qiang Yan

  • Chenshen Huang

  • December 31, 2025

  • 0 min

Share

Original Source(s)

Deep multimodal state-space fusion of endoscopic-radiomic and clinical data for survival prediction in colorectal cancer

  • by Ning Wang, Jiajing Lin, Wujin Li, Yahui Lyu, Yiqing Jiang, Zhizhan Ni, Qi Huang, Hong Chen, Qiang Yan, Chenshen Huang

  • December 31, 2025

Related Content

A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer

STD-Net: a spatio-temporal decoupling network for multiphasic liver lesion segmentation and characterization

Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation