Development and evaluation of machine-learning methods in whole-body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer: the MALIBO diagnostic test accuracy study
Rockall A, Li X, Johnson N, Lavdas I, Santhakumaran S, Prevost AT, Koh DM, Punwani S, Goh V, Bharwani N, Sandhu A, Sidhu H, Plumb A, Burn J, Fagan A, Oliver A, Wengert GJ, Rueckert D, Aboagye E, Taylor SA, Blocker B, The MALIBO Investigators
Record ID 32015000673
English
Original Title:
Development and evaluation of machine learning methods in whole body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer (MAchine Learning In whole Body Oncology, MALIBO)
Details
Project Status:
Completed
URL for project:
https://www.journalslibrary.nihr.ac.uk/programmes/eme/1312201/#/
Year Published:
2024
URL for published report:
https://www.journalslibrary.nihr.ac.uk/eme/KPWQ4208
Requestor:
NIHR Health Technology Assessment programme
English language abstract:
An English language summary is available
Publication Type:
Full HTA
Country:
England, United Kingdom
MeSH Terms
- Image Interpretation, Computer-Assisted
- Image Processing, Computer-Assisted
- Neoplasms
- Image Enhancement
- Diffusion Magnetic Resonance Imaging
- Whole Body Imaging
- Neoplasm Staging
Contact
Organisation Name:
NIHR Health Technology Assessment programme
Contact Address:
NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name:
journals.library@nihr.ac.uk
Contact Email:
journals.library@nihr.ac.uk
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.