Virtual imaging for patient information on radiotherapy planning and delivery

Sule-Suso, J; Finney, S; Bisson, J; Hammersley, S; Jassal, S; Knight, C; Ellis, C; Sargeant, S; Lam, K; Belcher, J; Collins, D; Bhana, R; Adab, F; O'Donovan, C; Moloney, A

doi:10.1016/S0167-8140(16)32711-6

All Outputs (2)

Towards Accurate Predictions of Customer Purchasing Patterns (2017)
Conference Proceeding
Valero-Fernandez, R., Collins, D. J., Lam, K., Rigby, C., & Bailey, J. (2017). Towards Accurate Predictions of Customer Purchasing Patterns. . https://doi.org/10.1109/CIT41763.2017

range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most related... Read More about Towards Accurate Predictions of Customer Purchasing Patterns.

Virtual imaging for patient information on radiotherapy planning and delivery (2016)
Presentation / Conference
Sule-Suso, J., Finney, S., Bisson, J., Hammersley, S., Jassal, S., Knight, C., …Moloney, A. (2016, April). Virtual imaging for patient information on radiotherapy planning and delivery. Poster presented at ESTRO 35, Turin, Italy

Purpose or Objective: To assess whether both patients and their relatives would welcome further information on a oneto-one basis on RT planning and delivery using the virtual reality (VR) system VERT.