Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.
Journal:
International journal of computer assisted radiology and surgery
PMID:
37083973
Abstract
PURPOSE: Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal non-Hodgkin lymphoma. To predict the overall survival (OS) in advance is of utmost importance as it has the potential to aid clinical decision-making. Though radiomics-based machine learning (ML) has demonstrated the promising performance in PCNSL, it demands large amounts of manual feature extraction efforts from magnetic resonance images beforehand. deep learning (DL) overcomes this limitation.