all AI news
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information
Feb. 29, 2024, 5:45 a.m. | Mona Furukawa, Daniel R. McGowan, Bart{\l}omiej W. Papie\.z
cs.CV updates on arXiv.org arxiv.org
Abstract: The 5-year survival rate of Head and Neck Cancer (HNC) has not improved over the past decade and one common cause of treatment failure is recurrence. In this paper, we built Cox proportional hazard (CoxPH) models that predict the recurrence free survival (RFS) of oropharyngeal HNC patients. Our models utilise both clinical information and multimodal radiomics features extracted from tumour regions in Computed Tomography (CT) and Positron Emission Tomography (PET). Furthermore, we were one of …
abstract arxiv cancer clinical cs.cv eess.iv failure free head information paper pet prediction radiomics rate survival treatment type
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 17 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 17 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne