MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches

Menglei Jiao, Hong Liu 0007, Jianfang Liu, Hanqiang Ouyang, Xiangdong Wang, Liang Jiang, Huishu Yuan, Yueliang Qian. MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III. Volume 13433 of Lecture Notes in Computer Science, pages 175-185, Springer, 2022. [doi]

@inproceedings{JiaoLLOWJYQ22,
  title = {MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches},
  author = {Menglei Jiao and Hong Liu 0007 and Jianfang Liu and Hanqiang Ouyang and Xiangdong Wang and Liang Jiang and Huishu Yuan and Yueliang Qian},
  year = {2022},
  doi = {10.1007/978-3-031-16437-8_17},
  url = {https://doi.org/10.1007/978-3-031-16437-8_17},
  researchr = {https://researchr.org/publication/JiaoLLOWJYQ22},
  cites = {0},
  citedby = {0},
  pages = {175-185},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III},
  editor = {Linwei Wang and Qi Dou and P. Thomas Fletcher and Stefanie Speidel and Shuo Li 0001},
  volume = {13433},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16437-8},
}