Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features

Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari, Kasra Borazjani, Kasra Mojallal, Dariush Askari, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad M. Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim. Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. In Karen Drukker, Khan M. Iftekharuddin, editors, Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022. Volume 12033 of SPIE Proceedings, SPIE, 2022. [doi]

@inproceedings{SalmanpourHABMA22,
  title = {Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features},
  author = {Mohammad R. Salmanpour and Mahdi Hosseinzadeh and Azizeh Akbari and Kasra Borazjani and Kasra Mojallal and Dariush Askari and Ghasem Hajianfar and Seyed Masoud Rezaeijo and Mohammad M. Ghaemi and Amir Hossein Nabizadeh and Arman Rahmim},
  year = {2022},
  doi = {10.1117/12.2612998},
  url = {https://doi.org/10.1117/12.2612998},
  researchr = {https://researchr.org/publication/SalmanpourHABMA22},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022},
  editor = {Karen Drukker and Khan M. Iftekharuddin},
  volume = {12033},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510649422},
}