Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder

Jing Wu, Yanqiong Ren, Fei Han 0001, Xiang Bao. Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder. In De-Shuang Huang, Qinhu Zhang, Jiayang Guo, editors, Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNBI). Volume 14881 of Lecture Notes in Computer Science, pages 123-134, Springer, 2024. [doi]

@inproceedings{WuRHB24,
  title = {Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder},
  author = {Jing Wu and Yanqiong Ren and Fei Han 0001 and Xiang Bao},
  year = {2024},
  doi = {10.1007/978-981-97-5689-6_11},
  url = {https://doi.org/10.1007/978-981-97-5689-6_11},
  researchr = {https://researchr.org/publication/WuRHB24},
  cites = {0},
  citedby = {0},
  pages = {123-134},
  booktitle = {Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNBI)},
  editor = {De-Shuang Huang and Qinhu Zhang and Jiayang Guo},
  volume = {14881},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-97-5689-6},
}