Radiomics and Machine Learning in Medical Imaging
This cluster of papers focuses on the application of radiomics, a quantitative analysis of medical images, particularly in the context of cancer imaging and precision medicine. It explores the extraction of advanced features from medical images, the use of machine learning for predictive modeling, and the assessment of tumor heterogeneity through texture analysis.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.